{"id":"W7037602390","doi":"","title":"Environmental and socioeconomic LCA of milk in canada","year":2013,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Production (economics); Work (physics); Milk production; Environmental degradation; Population; Consumption (sociology)","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":[0.0002589214,0.0003116059,0.0002693158,0.001432762,0.00135622,0.001290698,0.000725844,0.0003640307,0.004934161],"category_scores_gemma":[0.0006820351,0.0002203114,0.0006441621,0.004453732,0.0003878921,0.0003278299,0.0007206268,0.0005433384,0.0003743969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05090293,"about_ca_system_score_gemma":0.04459528,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990166,"about_ca_topic_score_gemma":0.9995154,"domain_scores_codex":[0.999619,0.00002091609,0.0000154061,0.00004337542,0.0001426055,0.0001586728],"domain_scores_gemma":[0.9992404,0.00002396521,0.00007622843,0.00001398985,0.0004770151,0.0001684136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003645984,0.0001246265,0.9385953,0.0001672113,0.0005204955,0.0004808733,0.0007427533,0.004284974,0.0008961815,0.004640856,0.02414481,0.02503738],"study_design_scores_gemma":[0.00001330053,0.00001223048,0.9869719,0.0000369981,0.00004483534,0.00003945122,0.0008879222,0.001836206,0.0001593465,0.0001494607,0.009831647,0.00001680089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.932469,0.003892199,0.000253854,0.002946887,0.00005190257,0.00004489776,0.03882065,0.00009350832,0.02142722],"genre_scores_gemma":[0.9764253,0.001916924,0.0003468469,0.0002212301,0.00001336256,0.00001392547,0.008094463,0.00002005742,0.01294787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05090293,"threshold_uncertainty_score":0.3693283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664581314588098,"score_gpt":0.2424881871249351,"score_spread":0.2258423739790541,"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."}}