{"id":"W6926529938","doi":"10.25318/1610008301-fra","title":"Valeur estimative des livraisons, commandes et stocks, selon la Classification type des industries, 1970 (CTI), Canada","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Law of excluded middle","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":[0.001574598,0.0020219,0.001569601,0.005821656,0.001186059,0.00264125,0.002437626,0.001055717,0.01869052],"category_scores_gemma":[0.01026634,0.0006783579,0.001821031,0.01367719,0.0006354005,0.001087478,0.0009512351,0.002053614,0.01698722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01210666,"about_ca_system_score_gemma":0.02704205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544111,"about_ca_topic_score_gemma":0.9577285,"domain_scores_codex":[0.9985318,0.0001196502,0.0001339449,0.0003908071,0.0005409648,0.0002828249],"domain_scores_gemma":[0.9942607,0.0007707829,0.0003675624,0.0004691905,0.003815614,0.0003162789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001461075,0.00003211285,0.02244811,0.0005647141,0.0001889826,0.00003021165,0.0000433467,0.001909236,0.00009557073,0.0004492273,0.9670321,0.007060304],"study_design_scores_gemma":[0.0005213807,0.00005004317,0.2115968,0.0008384886,0.000356782,0.0001353842,0.0006486021,0.004985191,0.001029727,0.0007712227,0.7789416,0.0001248322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001153081,0.0002504166,0.00007583205,0.00009966328,0.00002438928,0.000006406441,0.9975154,0.0001596808,0.0007149829],"genre_scores_gemma":[0.003020628,0.0002148443,0.0002712496,0.00003621548,0.00001025525,0.00002145909,0.9947077,0.00003660273,0.001680913],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04558885,"threshold_uncertainty_score":0.09171462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816275268548117,"score_gpt":0.2909124276092525,"score_spread":0.2627496749237713,"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."}}