{"id":"W2219003777","doi":"","title":"Perspectives d'amélioration du bilan environnemental des cimenteries québécoises","year":2015,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science","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":[0.001176333,0.0007470752,0.0004918815,0.0008445611,0.003132703,0.002419818,0.001141467,0.00146865,0.01260046],"category_scores_gemma":[0.0007495779,0.0001577909,0.0006933886,0.0009886821,0.0009428895,0.001126077,0.0008231253,0.001364223,0.0008140482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01663085,"about_ca_system_score_gemma":0.01660883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.843722,"about_ca_topic_score_gemma":0.9315985,"domain_scores_codex":[0.9994248,0.0001228639,0.00001072082,0.00007612922,0.0001619716,0.0002035663],"domain_scores_gemma":[0.9991034,0.00005067537,0.00004787098,0.00002177617,0.0006380593,0.0001382481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001551459,0.0008760372,0.08445501,0.004166362,0.0005187006,0.003765995,0.007021591,0.01379493,0.2419676,0.04338849,0.09077324,0.5077206],"study_design_scores_gemma":[0.00008802146,0.00120113,0.1595724,0.002090679,0.0004040042,0.0004742597,0.01714935,0.004958858,0.0254781,0.006954556,0.7814209,0.0002076651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5592808,0.08296861,0.01964747,0.0912922,0.001697085,0.0003561788,0.003090349,0.0004725765,0.2411948],"genre_scores_gemma":[0.7991926,0.03656004,0.02289055,0.008940969,0.0001388447,0.0002021543,0.001507608,0.00009886767,0.1304684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.156278,"threshold_uncertainty_score":0.3143966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01892669516500346,"score_gpt":0.2010913306018751,"score_spread":0.1821646354368716,"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."}}