{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"2f55a26559f3","filters":{"venue":"International Journal of Transportation Engineering"}},"results":[{"id":"W2954693089","doi":"10.22119/ijte.2019.94586.1361","title":"Sustainable vehicle-routing problem with time windows by heterogeneous fleet of vehicles and separated compartments: Application in waste collection problem","year":2019,"lang":"en","type":"article","venue":"International Journal of Transportation Engineering","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Vehicle routing problem; Solver; Variable (mathematics); Mathematical optimization; Integer programming; Computer science; Operations research; Fleet management; Constraint programming; Constraint (computer-aided design); Routing (electronic design automation); Engineering; Transport engineering; Mathematics","authors":[{"name":"Masoud Rabbani","is_ca":false},{"name":"Ali Taghi-Molla","is_ca":false},{"name":"Hamed Farrokhi-Asl","is_ca":false},{"name":"Mahdi Mobini","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003690886833348476,"gpt":0.2154588499771211,"spread":0.2117679631437727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003376692,0.0001502158,0.0002536551,0.0003108469,0.00001673903,0.00003282783,0.0001346804,0.00006492036,0.000009512197],"category_scores_gemma":[0.000007518461,0.0001553139,0.00003825462,0.0003145312,0.00001317582,0.0003913708,0.000004425782,0.0001664278,0.000001267621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575934,"about_ca_system_score_gemma":0.00003018246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002568695,"about_ca_topic_score_gemma":0.00000667723,"domain_scores_codex":[0.9987035,0.00002513383,0.0006549678,0.0001267396,0.000320454,0.0001691882],"domain_scores_gemma":[0.9992127,0.00006293772,0.0002545119,0.00006488725,0.0003532577,0.0000516735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008864408,0.000035336,0.01415333,0.000108913,0.0001202456,0.00000846953,0.0005671254,0.9322677,0.05217899,0.0000799409,0.00001650121,0.0003748196],"study_design_scores_gemma":[0.002063498,0.0001311627,0.004486356,0.0002719769,0.00003103105,0.00003534385,0.0001799348,0.9597881,0.03257861,0.00002437356,0.0002143354,0.0001952559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207158,0.0001183229,0.07860377,0.00003693617,0.00006413904,0.000323828,0.00001412614,0.00005093936,0.00007213138],"genre_scores_gemma":[0.9815525,0.00003242613,0.0182347,0.000006744181,0.00002343252,0.00001371472,0.00004929413,0.00003600157,0.00005116899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06083671,"threshold_uncertainty_score":0.6333517,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3136057350","doi":"10.22119/ijte.2020.218863.1509","title":"An Implementation of the AI-based Traffic Flow Prediction in The Resilience Control Scheme","year":2020,"lang":"en","type":"article","venue":"International Journal of Transportation Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Artificial neural network; Adaptive neuro fuzzy inference system; Resilience (materials science); Traffic flow (computer networking); Computer science; Particle swarm optimization; Task (project management); Data mining; Machine learning; Fuzzy logic; Artificial intelligence; Engineering; Fuzzy control system","authors":[{"name":"Majid Mohammadi","is_ca":false},{"name":"Abbas Dideban","is_ca":false},{"name":"Asad Lesani","is_ca":true},{"name":"Behzad Moshiri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005090099372570787,"gpt":0.2315691591633566,"spread":0.2264790597907858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001949069,0.00007466893,0.00008567716,0.0001173561,0.00001279303,0.00001960754,0.00034581,0.00002778463,0.00001711373],"category_scores_gemma":[0.000009393223,0.000056352,0.00007292372,0.0001721185,0.00001173063,0.0003063498,9.591489e-7,0.0001697773,2.825946e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003644563,"about_ca_system_score_gemma":0.00002157544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003282532,"about_ca_topic_score_gemma":0.00002354058,"domain_scores_codex":[0.9990466,0.00001836232,0.0004273541,0.00005710935,0.00038228,0.00006833414],"domain_scores_gemma":[0.9996961,0.00002317116,0.00009208619,0.0000621941,0.00009800249,0.00002840074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001978618,0.00001788341,0.00247925,0.00001978701,0.00003214517,0.000004277939,0.0009042741,0.98535,0.006299722,0.000167707,0.0003574674,0.004347716],"study_design_scores_gemma":[0.0008507906,0.00006344831,0.110325,0.00004568372,0.0000211625,0.000002486863,0.0003180217,0.8836055,0.003732722,0.000003107297,0.0009820227,0.00005004431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4382849,0.00003222694,0.5595993,0.001276806,0.0004278212,0.0001540794,0.00005831071,0.0001529364,0.00001358596],"genre_scores_gemma":[0.9981269,0.000013671,0.001481549,0.0002501577,0.00009422453,0.000008194952,0.00001565932,0.00000948769,2.088851e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5598419,"threshold_uncertainty_score":0.2297968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888341702","doi":"10.22119/ijte.2018.128550.1401","title":"Coordination of competitive advertising via investing in transportation lead time reduction","year":2020,"lang":"en","type":"article","venue":"International Journal of Transportation Engineering","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"","keywords":"Incentive; Carbon tax; Profit (economics); Business; Supply chain; Industrial organization; Greenhouse gas; Lead time; Lead (geology); Emissions trading; Environmental economics; Microeconomics; Economics; Marketing","authors":[{"name":"Seyyed‐Mahdi Hosseini‐Motlagh","is_ca":false},{"name":"Samira Ebrahimi","is_ca":false},{"name":"Mina Nouri","is_ca":false},{"name":"Mohammadreza Nematollahi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01122732792868078,"gpt":0.2044042062127439,"spread":0.1931768782840631,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002311009,0.0001086431,0.0001802054,0.0004511848,0.00001469003,0.00003287724,0.0001744509,0.00003589794,0.00006909092],"category_scores_gemma":[0.00005220263,0.0001227167,0.00009173159,0.0003239877,0.00001652423,0.00131859,0.000002944068,0.0001302738,0.000006921099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005967985,"about_ca_system_score_gemma":0.00001460987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007075296,"about_ca_topic_score_gemma":0.00002355493,"domain_scores_codex":[0.9986989,0.000006464722,0.0006860924,0.0001095417,0.000405339,0.00009360624],"domain_scores_gemma":[0.9990572,0.00002105904,0.0004837082,0.00003314633,0.000389318,0.00001560089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004086781,0.0001857197,0.03125868,0.0005274724,0.0002788126,0.0001386522,0.003268759,0.6701587,0.2661588,0.01745747,0.0004531654,0.009705014],"study_design_scores_gemma":[0.00611389,0.0001583006,0.2897625,0.00169185,0.0002660341,0.00001480672,0.002345077,0.658271,0.02683195,0.0008997149,0.01284562,0.0007992237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.944978,0.00005484193,0.05132557,0.002169349,0.0008049222,0.0001520354,0.000007965058,0.00004253358,0.0004647988],"genre_scores_gemma":[0.9980648,0.00000696295,0.001113182,0.0001916469,0.0005083218,0.000002268229,0.00008745347,0.00001686418,0.000008567195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2585038,"threshold_uncertainty_score":0.5004243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}