{"id":"W2414857345","doi":"10.14288/1.0098582","title":"An example of planning for sustainable production : the dry-cell battery problem","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Production planning; Computer science; Environmental science; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006939165,0.00003378722,0.0002144898,0.0000540387,0.0002526697,0.00006143082,0.0003143741,0.00008013134,0.0001356467],"category_scores_gemma":[0.00002675346,0.0001037845,0.00008401058,0.0001093964,0.0001712895,0.0004813892,0.00004710943,0.0001184297,0.00001151132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002468432,"about_ca_system_score_gemma":0.00003176832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.112898,"about_ca_topic_score_gemma":0.03944604,"domain_scores_codex":[0.9992879,0.00001441562,0.0001803252,0.0002957142,0.00001228836,0.000209362],"domain_scores_gemma":[0.9991891,0.00005042929,0.0002976329,0.0003411106,0.00007394578,0.00004778856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002771881,0.002137021,0.6065871,0.003057338,0.0003771197,0.00004952192,0.02647485,0.001677771,0.006663581,0.1135964,0.03757252,0.2015296],"study_design_scores_gemma":[0.001026177,0.0001985921,0.8507531,0.00003105218,0.00001992598,0.00001240034,0.006130415,0.0004102736,0.00005550458,0.1189654,0.02210975,0.0002874584],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917349,0.00007204543,0.0007010686,0.0001044407,0.0001488889,0.0003571036,0.0001172915,0.00001937931,0.006744866],"genre_scores_gemma":[0.9948444,0.00001275405,0.0007118955,0.00002862358,0.00008587429,0.000002090812,0.00001625068,0.00001208778,0.004285992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.244166,"threshold_uncertainty_score":0.9780816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638294526641541,"score_gpt":0.177358781524513,"score_spread":0.1609758362580976,"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."}}