{"meta":{"query_hash":"2a50fc0aca8e","filters":{"venue":"CICTP 2018"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/2a50fc0aca8e","api":"https://metacan.xera.ac/api/v1/cohort?venue=CICTP+2018"},"results":[{"id":"W3000268460","doi":"10.1061/9780784481523.158","title":"Research on Through Lane Base Saturation Flow Rate at Signalized Intersections in Beijing, China","year":2018,"lang":"en","type":"article","venue":"CICTP 2018","topic":"Traffic control and management","field":"Engineering","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":"Beijing; Saturation (graph theory); Intersection (aeronautics); Highway Capacity Manual; Transport engineering; Mathematics; Engineering; China; Geography; Level of service","score_opus":0.03295610887937399,"score_gpt":0.29404950485263925,"score_spread":0.26109339597326525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000268460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980939,0.00006185224,0.0004733775,0.000030437175,0.0000028802817,0.000012314443,0.00014060551,0.000011480753,0.001173154],"genre_scores_gemma":[0.998966,0.00007783248,0.00026632202,0.0000046973246,0.0000025242314,0.000014905448,0.00020921485,0.0000027698125,0.00045586168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989409,0.00015660067,0.00009739064,0.00022805089,0.00039941736,0.00017766433],"domain_scores_gemma":[0.9985488,0.00023897349,0.00030237672,0.00006320016,0.0007219806,0.00012466736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011832183,0.0003644396,0.00046208833,0.00205459,0.0008135945,0.00073293346,0.0006846002,0.00029219736,0.0010679557],"category_scores_gemma":[0.0018170193,0.00028802973,0.00040077345,0.0032234492,0.00037576928,0.0008657434,0.00042747942,0.00026520755,0.00017582368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009473539,0.000095891424,0.96824896,0.00007527623,0.00006325898,0.0003154674,0.0019922424,0.003772753,0.0037821988,0.0004088432,0.00033232203,0.02081804],"study_design_scores_gemma":[0.0000037163898,0.00010672625,0.99204695,0.000008317156,0.000040568793,0.00005550662,0.0016385781,0.004392724,0.0010333441,0.00008801109,0.00056721224,0.00001835865],"about_ca_topic_score_codex":0.10604984,"about_ca_topic_score_gemma":0.122928366,"teacher_disagreement_score":0.10604984,"about_ca_system_score_codex":0.0023853169,"about_ca_system_score_gemma":0.0022828856,"threshold_uncertainty_score":0.21086514},"labels":[],"label_agreement":null},{"id":"W3000410372","doi":"10.1061/9780784481523.260","title":"Individuals’ Activity-Travel Behavior in Travel Demand Models: A Review of Recent Progress","year":2018,"lang":"en","type":"review","venue":"CICTP 2018","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Travel behavior; Transport engineering; Work (physics); Demand management; Investment (military); Transportation planning; Strengths and weaknesses; Computer science; Mode choice; Land use; Demand forecasting; Business; Operations research; Public transport; Economics; Marketing; Engineering","score_opus":0.1500571527723831,"score_gpt":0.40691669595656166,"score_spread":0.2568595431841786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000410372","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009766157,0.9896624,0.005793952,0.0009824847,0.00027594474,0.000017116416,0.00012306296,0.000031648913,0.0021367532],"genre_scores_gemma":[0.00854563,0.98683435,0.003390624,0.00017330417,0.00039118773,0.00002903673,0.00020925833,0.000014445919,0.00041212369],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999049,0.00031704924,0.000105854604,0.00021719644,0.00026105315,0.000049792085],"domain_scores_gemma":[0.9949003,0.00399267,0.00024739586,0.00014126928,0.0006334877,0.00008493106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031678805,0.0020403904,0.0027217488,0.0023973603,0.0005185451,0.0028109509,0.0023496433,0.0020075715,0.0029011501],"category_scores_gemma":[0.0055860355,0.0010117274,0.0016602941,0.0063544535,0.0010275836,0.0035543581,0.0013819686,0.0023015016,0.0015300893],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084886466,0.00029617272,0.0029461682,0.02218128,0.00034864276,0.00013238603,0.00027157972,0.025250427,0.00035215783,0.041401256,0.022209883,0.88452524],"study_design_scores_gemma":[0.000026275915,0.00030875573,0.005386277,0.017478764,0.0010326785,0.0006319675,0.0008696999,0.03227422,0.0006501364,0.050259855,0.89085144,0.00023010386],"about_ca_topic_score_codex":0.010197608,"about_ca_topic_score_gemma":0.007988656,"teacher_disagreement_score":0.010197608,"about_ca_system_score_codex":0.0015671306,"about_ca_system_score_gemma":0.0026500456,"threshold_uncertainty_score":0.020276487},"labels":[],"label_agreement":null}]}