{"id":"W4417213063","doi":"10.1016/j.trc.2025.105484","title":"Statistical inference of boarding and alighting counts in transit systems with incomplete data","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Exfo Electro-Optical Engineering (Canada); McGill University","funders":"","keywords":"Statistical inference; Transit (satellite); Statistical analysis; Transit system; Statistical model; Inference; Complete information; Public transport","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004157803,0.001047428,0.001235395,0.001423914,0.0005239612,0.001168646,0.002035412,0.001075598,0.0007780378],"category_scores_gemma":[0.02255269,0.00130859,0.00119336,0.00152124,0.001517234,0.001847786,0.001489901,0.001947768,0.00015109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772135,"about_ca_system_score_gemma":0.002114963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04358363,"about_ca_topic_score_gemma":0.0291187,"domain_scores_codex":[0.9983998,0.0005799291,0.0001106743,0.0004836648,0.0002415928,0.0001842829],"domain_scores_gemma":[0.9861129,0.01056208,0.001656788,0.0007208856,0.0007132689,0.0002339657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005158715,0.00003870441,0.01086085,0.00005547408,0.00005690932,0.00006713606,0.00007982129,0.9695219,0.0003730854,0.006226412,0.0003267268,0.01234134],"study_design_scores_gemma":[0.000003470171,0.000007600007,0.00144496,0.000005379455,0.000006414879,0.000007602696,0.00001610429,0.99522,0.0001891788,0.002984675,0.0001079603,0.000006573119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1620739,0.0002627902,0.8358218,0.0003321107,0.00002937919,0.00004875276,0.0005644449,0.0003241523,0.000542654],"genre_scores_gemma":[0.9275436,0.0003525465,0.06882759,0.00008000745,0.00006712893,0.00009801222,0.001942471,0.00008731199,0.001001298],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04358363,"threshold_uncertainty_score":0.08665991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214791989187702,"score_gpt":0.4384878932874818,"score_spread":0.3170086943687116,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}