{"id":"W7071949850","doi":"","title":"Un modèle d'équilibre général calculable avec ajustement des stocks d'inventaire","year":2001,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Productivity; Context (archaeology); Work (physics); Measure (data warehouse)","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":[0.001170113,0.001327672,0.0009652012,0.002694186,0.001252794,0.004404025,0.001726627,0.001025243,0.03401626],"category_scores_gemma":[0.005608547,0.0006212649,0.001669719,0.002386504,0.001500243,0.002391152,0.0009413469,0.001672629,0.006885127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00506503,"about_ca_system_score_gemma":0.002581171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1519076,"about_ca_topic_score_gemma":0.1723299,"domain_scores_codex":[0.9985688,0.0001042013,0.00004879796,0.0002490577,0.0009205445,0.0001085971],"domain_scores_gemma":[0.99861,0.000390853,0.00009166748,0.0002229886,0.0006177989,0.00006660097],"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":[0.0008729493,0.000118029,0.0131416,0.0008766155,0.0002549836,0.000832224,0.000787752,0.1625413,0.02148471,0.3605362,0.04151363,0.3970399],"study_design_scores_gemma":[0.0002023313,0.0001306344,0.0198715,0.0003416948,0.0001505004,0.0006402131,0.0004249404,0.4758843,0.08621398,0.09957507,0.3163543,0.0002105446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1087977,0.002723922,0.6706339,0.0008798923,0.001406815,0.0002246418,0.005665259,0.008782969,0.2008849],"genre_scores_gemma":[0.3732413,0.001976276,0.3384387,0.0002073083,0.0003140602,0.0001823721,0.004420293,0.002943239,0.2782765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1519076,"threshold_uncertainty_score":0.3020468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004470922718122907,"score_gpt":0.1491039897146659,"score_spread":0.144633066996543,"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."}}