{"id":"W6888998841","doi":"10.25318/1810022101-fra","title":"Indices des prix des matières premières, mensuel (1977=100)","year":2020,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Limiting; Closure (psychology); Measure (data warehouse)","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":[0.0006720601,0.001386786,0.001071233,0.004988507,0.0006920073,0.001877806,0.001577729,0.0007723748,0.02953964],"category_scores_gemma":[0.004618248,0.0005344264,0.0008449752,0.01145892,0.0003527394,0.0009458564,0.0007829007,0.001325893,0.02790129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004413496,"about_ca_system_score_gemma":0.00638197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5969754,"about_ca_topic_score_gemma":0.6743095,"domain_scores_codex":[0.9992582,0.00005393102,0.00008063696,0.0001880718,0.0002711761,0.0001480175],"domain_scores_gemma":[0.9971288,0.000391891,0.0002756513,0.00031587,0.001691814,0.0001959808],"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":[0.00007659536,0.00001847375,0.007191421,0.0005758023,0.00005410187,0.00001659764,0.00003922598,0.0004235784,0.0001008281,0.0006154598,0.9858122,0.005075711],"study_design_scores_gemma":[0.0001104703,0.00001435442,0.07267486,0.0003020572,0.00004907992,0.00005069775,0.0002270963,0.0005117728,0.0004374368,0.0005077592,0.9250733,0.00004112185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00032169,0.00008628576,0.00002735126,0.00002767179,0.0000117896,0.000004084354,0.9987195,0.00005947364,0.0007422392],"genre_scores_gemma":[0.001271388,0.0001340055,0.0001479623,0.00002055021,0.000006742154,0.00002550823,0.9969303,0.00002472171,0.001438881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4030246,"threshold_uncertainty_score":0.8107962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509740127330361,"score_gpt":0.2787843476543384,"score_spread":0.2636869463810348,"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."}}