{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001454274,0.0003100258,0.0005972818,0.0009278432,0.00005828291,0.0001787301,0.00117224,0.0001906311,0.002713965],"category_scores_gemma":[0.0001535115,0.0002820325,0.00008591718,0.0002135286,0.0001271507,0.000116775,0.0007814604,0.0002530024,0.000119452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007537906,"about_ca_system_score_gemma":0.0005172786,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9586663,"about_ca_topic_score_gemma":0.9579116,"domain_scores_codex":[0.996922,0.0001469163,0.0008139875,0.0008780016,0.00076487,0.0004742293],"domain_scores_gemma":[0.9974005,0.0002828799,0.0006098417,0.001491011,0.0000130326,0.0002027565],"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":[0.00000654288,0.00005175831,0.06129836,0.00001827563,0.00002810719,0.00001914258,0.00006306388,0.0001876604,0.00008632217,0.0008879028,0.8695126,0.06784022],"study_design_scores_gemma":[0.0008522684,0.00006342616,0.2153783,0.0001539061,0.00003663535,0.00002670433,0.001333812,0.07193667,0.0002599316,0.002778419,0.7061664,0.001013602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6928979,0.01876281,0.05017048,0.006783707,0.003652326,0.005685628,0.003771014,0.0006728108,0.2176033],"genre_scores_gemma":[0.6198477,0.0004920372,0.01088932,0.001058831,0.0001382823,0.0001499777,0.00007185026,0.0002584001,0.3670936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1633463,"threshold_uncertainty_score":0.9999632,"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."}}