{"id":"W4312588131","doi":"10.33137/ic.v32i.38735","title":"Passenger Number 12","year":2022,"lang":"en","type":"article","venue":"Italian Canadiana","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Notre-Dame","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007643903,0.0001172916,0.0001511606,0.000106075,0.0001160943,0.00002046715,0.0001711063,0.00002905466,0.008926667],"category_scores_gemma":[0.000002004618,0.0001473637,0.00009538025,0.0002905309,0.000009117898,0.00006201504,0.000008170133,0.0001527684,0.0003079307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004511491,"about_ca_system_score_gemma":0.00004587897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02638135,"about_ca_topic_score_gemma":0.1080828,"domain_scores_codex":[0.999147,0.00001623014,0.0001726808,0.0001483511,0.0002038883,0.0003118488],"domain_scores_gemma":[0.9994533,0.000008598735,0.00001552883,0.0002867608,0.000009729931,0.0002260877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002338719,0.0000193364,0.06872395,0.00007500384,0.0005556558,0.0009507947,0.001114826,0.02472585,0.0006083112,0.001864059,0.8995941,0.00176572],"study_design_scores_gemma":[0.0001118495,0.00000776364,0.01006156,0.000003330293,0.00004414219,0.00002825159,0.0002421964,0.002803325,0.00004632449,0.00004263753,0.9863191,0.0002895633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7167092,0.0009471296,0.0002646622,0.0008734597,0.002536025,0.0003512577,0.0007173782,0.000791234,0.2768096],"genre_scores_gemma":[0.9929161,0.000001425432,0.00004143914,0.0001509869,0.00009886511,0.00005023236,0.0000400142,0.000050544,0.006650415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2762069,"threshold_uncertainty_score":0.9919793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0056485277004152,"score_gpt":0.1594438428368859,"score_spread":0.1537953151364707,"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."}}