{"meta":{"query_hash":"97ea49762bcc","filters":{"venue":"Classics in Transport Analysis"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/97ea49762bcc","api":"https://metacan.xera.ac/api/v1/cohort?venue=Classics+in+Transport+Analysis"},"results":[{"id":"W132747837","doi":"","title":"AIRLINE COST STRUCTURE AND POLICY IMPLICATIONS: A MULTI-PRODUCT APPROACH FOR CANADIAN AIRLINES. IN: AIR TRANSPORT","year":2002,"lang":"en","type":"article","venue":"Classics in Transport Analysis","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Variable cost; Deregulation; Economies of scale; Variable (mathematics); Industrial organization; Cost driver; Fixed cost; Function (biology); Empirical research; Total cost; Econometrics; Charter; Product (mathematics); Economics; Cost structure; Cost estimate; Returns to scale; Scale (ratio); Operations research; Microeconomics; Business; Marketing; Production (economics); Engineering; Statistics; Mathematics","score_opus":0.06366429194469704,"score_gpt":0.2598533316382879,"score_spread":0.19618903969359086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W132747837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54546285,0.008298466,0.3850543,0.02793459,0.0002652748,0.002930698,0.016341712,0.0001562271,0.01355593],"genre_scores_gemma":[0.9932693,0.0004128886,0.0034751105,0.00032042532,0.00011974634,0.00014642315,0.0016471001,0.000028088896,0.0005809007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975655,0.000011364994,0.0010981731,0.000813789,0.00005100832,0.00046014859],"domain_scores_gemma":[0.99892235,0.000023182125,0.00026312913,0.0004980128,0.00006468886,0.00022862422],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033855415,0.00026632918,0.0008300769,0.0024214773,0.00015060554,0.000015946378,0.00024480198,0.00025686336,0.00022736768],"category_scores_gemma":[0.00003023796,0.00030722446,0.0003349191,0.004200268,0.00009836386,0.0002160691,0.000004721068,0.00031469637,0.000003985964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051872603,0.00014617993,0.95454884,0.000025764655,0.0003322336,0.0000032902633,0.0003943836,0.027735308,9.3506577e-7,0.015485547,0.000037640093,0.0012847091],"study_design_scores_gemma":[0.0009312214,0.000010106107,0.8776108,0.00000480683,0.00025998417,0.000001378155,0.000077582095,0.113544784,0.000005284146,0.0015426087,0.0056699347,0.0003415188],"about_ca_topic_score_codex":0.023778507,"about_ca_topic_score_gemma":0.2972864,"teacher_disagreement_score":0.4478065,"about_ca_system_score_codex":0.00027921743,"about_ca_system_score_gemma":0.000066976514,"threshold_uncertainty_score":0.999938},"labels":[],"label_agreement":null},{"id":"W45689619","doi":"","title":"PRICING AND INVESTMENT IN A TRANSPORTATION NETWORK: THE CASE OF TORONTO AIRPORT. IN: AIR TRANSPORT","year":2002,"lang":"en","type":"article","venue":"Classics in Transport Analysis","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ministry of Transport; Transport engineering; Investment (military); Order (exchange); Christian ministry; Traffic congestion; Marginal cost; Congestion pricing; International airport; Transportation planning; Transport network; Economics; Business; Finance; Engineering; Microeconomics","score_opus":0.03166223481589881,"score_gpt":0.22362526621694795,"score_spread":0.19196303140104914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W45689619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886677,0.0027622962,0.0016452512,0.0003350291,0.00004203049,0.0001588299,0.00006637445,0.000009412555,0.0063130492],"genre_scores_gemma":[0.99799657,0.0014245197,0.00015636822,0.00012319424,0.000025550162,0.00004080181,0.00009431857,0.00001374294,0.00012492064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759936,0.000025623736,0.0015518034,0.0004579968,0.000066229535,0.0002989594],"domain_scores_gemma":[0.9990945,0.000059308488,0.0004309544,0.00033140276,0.00001802341,0.0000658406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082299556,0.00019742444,0.0007817753,0.00039543386,0.000060047827,0.000005849715,0.00013901052,0.00017637812,0.00051804737],"category_scores_gemma":[0.0000062355425,0.00019328824,0.0002787129,0.001989408,0.000094397954,0.00028237773,0.0000027645885,0.00025728217,0.0000016815939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009225468,0.00016896219,0.92229736,0.000021459975,0.00023884048,0.00027351535,0.00327971,0.038491234,4.4855594e-7,0.03457265,0.000006712115,0.0006398818],"study_design_scores_gemma":[0.0006320499,0.000021668015,0.9567331,0.00002226957,0.0002802805,0.0000030678818,0.00061767944,0.03789691,0.0000036955719,0.0028634355,0.00071639294,0.00020944199],"about_ca_topic_score_codex":0.01289541,"about_ca_topic_score_gemma":0.36603597,"teacher_disagreement_score":0.35314056,"about_ca_system_score_codex":0.00015453286,"about_ca_system_score_gemma":0.000012437071,"threshold_uncertainty_score":0.9936778},"labels":[],"label_agreement":null},{"id":"W636643674","doi":"","title":"THE WORLD'S AIRLINES. IN: AIR TRANSPORT","year":2002,"lang":"en","type":"article","venue":"Classics in Transport Analysis","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Deregulation; Unit (ring theory); Sample (material); Industrial organization; Economics; Unit cost; Unit price; Disadvantage; Consolidation (business); Low-cost carrier; Business; International trade; Labour economics; Microeconomics; Market economy; Macroeconomics; Finance; Marketing","score_opus":0.019804596759629426,"score_gpt":0.21158309204317138,"score_spread":0.19177849528354196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W636643674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9069102,0.0005418399,0.00043689177,0.005309595,0.00041400286,0.0002824532,0.000013665691,0.00016254284,0.08592883],"genre_scores_gemma":[0.9953511,0.00028923794,0.000035767174,0.001162153,0.00041165506,0.000047674497,0.00010597578,0.000036137157,0.002560307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762625,0.000006582363,0.0009651244,0.00047564725,0.00025709427,0.0006693119],"domain_scores_gemma":[0.99916387,0.00005683041,0.00019340271,0.00051052845,0.000046492314,0.000028880942],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005062312,0.0003285984,0.00062733504,0.0013546095,0.00020777903,0.000042676318,0.0005696076,0.00011778662,0.0006166329],"category_scores_gemma":[0.000005093501,0.00027166464,0.0005440727,0.0045230016,0.00021716794,0.00076420914,0.000010876912,0.0003712293,0.00015041891],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024780795,0.00012552804,0.97981817,0.000033422377,0.00019461646,0.00006184716,0.00017507529,0.008547316,0.000002905942,0.009303801,0.00035264133,0.0013599021],"study_design_scores_gemma":[0.0005906054,0.0000022488493,0.82418174,0.000021649528,0.0005768805,2.8510803e-7,0.00016419578,0.015963126,0.0000064277665,0.0013953099,0.1567377,0.00035980955],"about_ca_topic_score_codex":0.0017221476,"about_ca_topic_score_gemma":0.3000402,"teacher_disagreement_score":0.29831803,"about_ca_system_score_codex":0.00007776143,"about_ca_system_score_gemma":0.000015514466,"threshold_uncertainty_score":0.99997354},"labels":[],"label_agreement":null},{"id":"W649928807","doi":"","title":"PATTERNS OF AUTOMOBILE DEPENDENCE IN CITIES: AN INTERNATIONAL OVERVIEW OF KEY PHYSICAL AND ECONOMIC DIMENSIONS WITH SOME IMPLICATIONS FOR URBAN POLICY. IN: THE AUTOMOBILE","year":2003,"lang":"en","type":"article","venue":"Classics in Transport Analysis","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Regional science; Business; Sample (material); Service (business); Public policy; Economic geography; Automotive industry; Urban policy; Economic growth; Urban planning; Geography; Economics; Political science","score_opus":0.03527949934119999,"score_gpt":0.3454597439356229,"score_spread":0.3101802445944229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W649928807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981951,0.00009370328,0.00030672,0.00030758747,0.00002057853,0.0003331653,0.0002514758,0.000008382645,0.0004832712],"genre_scores_gemma":[0.9993501,0.00025466617,0.000119431614,0.000036431076,0.000031480497,0.000112048285,0.00007217589,0.0000068621803,0.000016820955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987645,0.000090561785,0.00045511744,0.0003092898,0.00017465539,0.00020587715],"domain_scores_gemma":[0.9992568,0.00018810999,0.00016147488,0.00029322572,0.00004822742,0.000052171636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000639786,0.000114110415,0.00038104472,0.00033459262,0.00007037064,0.00001531052,0.000361527,0.00006981932,0.000030305675],"category_scores_gemma":[0.00001522654,0.00009174246,0.0001448917,0.00080133637,0.00026357168,0.00040729175,0.000004711537,0.00012083908,1.1790297e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010596684,0.0002685764,0.9035976,0.000023467117,0.000051790525,8.7490923e-7,0.009911027,0.0006697083,0.000021156338,0.085365996,9.2244017e-7,0.00007827808],"study_design_scores_gemma":[0.00034729912,0.00003715978,0.98821396,0.000028858123,0.00016180071,1.02210706e-7,0.0021727239,0.0005723044,0.000057049558,0.008098374,0.00020345599,0.000106913845],"about_ca_topic_score_codex":0.006957255,"about_ca_topic_score_gemma":0.20062883,"teacher_disagreement_score":0.19367158,"about_ca_system_score_codex":0.00011087463,"about_ca_system_score_gemma":0.00030694104,"threshold_uncertainty_score":0.9996555},"labels":[],"label_agreement":null},{"id":"W819713802","doi":"","title":"BEHAVIOURAL APPROACHES TO FREIGHT TRANSPORT MODAL CHOICE. IN: TRANSPORT LOGISTICS","year":2002,"lang":"en","type":"article","venue":"Classics in Transport Analysis","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consignment; Mode choice; Modal; Mode (computer interface); Transport engineering; Operations research; Passenger transport; Computer science; Regional science; Business; Economics; Engineering; Geography; Marketing; Public transport","score_opus":0.20431691102691452,"score_gpt":0.24480836577957937,"score_spread":0.04049145475266486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W819713802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88004875,0.00019501436,0.061206426,0.0032254609,0.0007083203,0.00069868134,0.00019295307,0.00023686285,0.053487513],"genre_scores_gemma":[0.99606717,0.00006461996,0.00063310564,0.00081885594,0.00061375246,0.00007169838,0.0008523138,0.00005933308,0.0008191332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99639577,0.000013234288,0.0012392207,0.0008735575,0.000763079,0.000715117],"domain_scores_gemma":[0.9990315,0.00005507982,0.00022222863,0.00049858616,0.00011351522,0.0000790859],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041278737,0.00049364567,0.000905077,0.0015109701,0.00011888426,0.000068700814,0.0007534213,0.00028924466,0.0010802931],"category_scores_gemma":[0.00002801167,0.00050394237,0.0006118602,0.0029628007,0.00028984918,0.00074765715,0.000016258513,0.0005171463,0.000081154765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037244583,0.00064349215,0.93780875,0.000085081054,0.00025537744,0.00023907066,0.00028350254,0.024055243,0.0000071381855,0.036100667,0.000114290844,0.00037016263],"study_design_scores_gemma":[0.0009891627,0.00001882072,0.94121134,0.00004754409,0.0015487431,0.0000010574631,0.00012583795,0.045409705,0.000017281522,0.002345162,0.0075479494,0.0007373817],"about_ca_topic_score_codex":0.0029912032,"about_ca_topic_score_gemma":0.04278264,"teacher_disagreement_score":0.11601842,"about_ca_system_score_codex":0.00016452555,"about_ca_system_score_gemma":0.00002558451,"threshold_uncertainty_score":0.99983287},"labels":[],"label_agreement":null}]}