{"id":"W7033237307","doi":"","title":"PrÃ©diction de l'efficacitÃ© de courant du procÃ©dÃ© Hall-HÃ©roult","year":2009,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sugar industry; Production (economics); Production system (computer science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003014326,0.001258853,0.001145577,0.001161519,0.0008433223,0.004832741,0.002631847,0.001621269,0.01230296],"category_scores_gemma":[0.004801311,0.0009328751,0.001543694,0.0008107508,0.001330746,0.002834341,0.001885052,0.003092932,0.002717128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00296791,"about_ca_system_score_gemma":0.003832116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005391976,"about_ca_topic_score_gemma":0.004543102,"domain_scores_codex":[0.9965104,0.0002889954,0.0001096584,0.0006056352,0.002222819,0.0002624443],"domain_scores_gemma":[0.9949257,0.00207578,0.0005635223,0.000726213,0.00152178,0.0001869147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001832552,0.0006675047,0.007458092,0.001915409,0.0002093171,0.000630511,0.000943105,0.1177533,0.3001502,0.1482509,0.0112279,0.4089612],"study_design_scores_gemma":[0.0001673212,0.00246011,0.01610614,0.0003681838,0.0002008552,0.0005117689,0.0008057349,0.2341917,0.5722581,0.03112664,0.1415281,0.0002754747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2632727,0.003937213,0.529615,0.004176212,0.001631783,0.0005178289,0.001490085,0.004531764,0.1908274],"genre_scores_gemma":[0.7287737,0.003201954,0.1128849,0.0006060532,0.0002618417,0.0004875964,0.001162756,0.0009640269,0.1516573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01230296,"threshold_uncertainty_score":0.04115754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003812879941857311,"score_gpt":0.1211984262713018,"score_spread":0.1173855463294445,"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."}}