{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004297688,0.001145955,0.0005563759,0.001357,0.009251128,0.004244641,0.0009853316,0.001832401,0.4512977],"category_scores_gemma":[0.0009338052,0.0003345614,0.0006082783,0.001332313,0.0005884186,0.0007798282,0.001259107,0.002222268,0.1536561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008527018,"about_ca_system_score_gemma":0.01524153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7905233,"about_ca_topic_score_gemma":0.9254568,"domain_scores_codex":[0.998998,0.00003374141,0.00001293511,0.0001394832,0.0004004636,0.0004152927],"domain_scores_gemma":[0.9987761,0.00001661762,0.000009024957,0.00002899295,0.0007716065,0.000397517],"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":[0.00005932029,0.00003266836,0.00129431,0.00003962338,0.000004936966,0.0001722012,0.000159279,0.0001074451,0.0004772969,0.002800175,0.96763,0.02722265],"study_design_scores_gemma":[0.000003139865,0.00001801551,0.002198687,0.00002431112,0.000004419094,0.00005291055,0.0003529116,0.00007804607,0.0002079618,0.0001096319,0.9969385,0.00001142792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0053471,0.000769507,0.0006251613,0.007359965,0.005812453,0.0001439523,0.007029009,0.0005791457,0.9723336],"genre_scores_gemma":[0.00512229,0.0001723375,0.0001620999,0.00037486,0.00007451167,0.000006921675,0.0008228803,0.00005969586,0.9932045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7905233,"threshold_uncertainty_score":0.7826573,"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."}}