{"id":"W6945213297","doi":"10.25318/2310026901-fra","title":"Indicateurs d'activités sur les transports, Transports Canada","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"History of Medicine Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Work (physics); Perspective (graphical); Public policy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138306,0.001313413,0.001009335,0.006920118,0.001464719,0.003378243,0.001722287,0.001124909,0.02294075],"category_scores_gemma":[0.01088789,0.0006213745,0.0009552026,0.01710121,0.0007124823,0.001140491,0.001560499,0.001918187,0.01486611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01218281,"about_ca_system_score_gemma":0.02684847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9168897,"about_ca_topic_score_gemma":0.9440938,"domain_scores_codex":[0.9980045,0.0001891731,0.0002157641,0.0003595875,0.0007903595,0.0004405913],"domain_scores_gemma":[0.9932305,0.0009765564,0.0005679869,0.000580572,0.004024404,0.000620108],"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":[0.00007779502,0.00002091586,0.008389996,0.0005194515,0.00004346851,0.00002582167,0.0001223199,0.0004628626,0.00008260674,0.001196255,0.9842227,0.004835685],"study_design_scores_gemma":[0.0001122573,0.00001197157,0.06715637,0.00054674,0.00005089831,0.00005207254,0.0005777309,0.0008452032,0.000469868,0.0007243208,0.9293939,0.00005860629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005336829,0.0001249657,0.00003879248,0.0001219818,0.00002222987,0.000009108994,0.9975765,0.00006353911,0.001509242],"genre_scores_gemma":[0.002321211,0.0002415942,0.0002497851,0.00005413099,0.00001313884,0.00005764632,0.9941129,0.00003372365,0.002915946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08311033,"threshold_uncertainty_score":0.1671996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144877608361712,"score_gpt":0.2131204860876789,"score_spread":0.1986327252515077,"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."}}