{"id":"W2098473182","doi":"10.7202/602231ar","title":"D’une analyse de variabilités à un modèle d’investissement des firmes","year":2009,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008114075,0.001604265,0.001913611,0.001840299,0.0007118149,0.003411141,0.00177291,0.00182232,0.007199764],"category_scores_gemma":[0.02855752,0.001234368,0.004087598,0.002473796,0.001337151,0.002273404,0.001871029,0.003463052,0.0009215052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001905862,"about_ca_system_score_gemma":0.002202397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03126631,"about_ca_topic_score_gemma":0.01677789,"domain_scores_codex":[0.9964092,0.001947981,0.0001065748,0.0006016335,0.0006796374,0.0002549854],"domain_scores_gemma":[0.9795731,0.01719758,0.0006630161,0.001299655,0.001071259,0.0001952866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001707491,0.000173796,0.01033663,0.0002530186,0.0007705156,0.0001773309,0.000395178,0.8636254,0.002460219,0.06314248,0.001063149,0.05743146],"study_design_scores_gemma":[0.00002755796,0.0001049017,0.003028627,0.00004574204,0.0001220743,0.00005197439,0.00005137048,0.9600732,0.0009676501,0.03271732,0.002773866,0.0000357563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05451415,0.0007349456,0.9401,0.0009180435,0.00009365141,0.00007232081,0.0003824187,0.0002554557,0.00292907],"genre_scores_gemma":[0.6563889,0.003371278,0.322271,0.0003787086,0.0005033737,0.0007272962,0.001443866,0.0002927539,0.01462285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03126631,"threshold_uncertainty_score":0.0621686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0642091635329294,"score_gpt":0.2424241193010459,"score_spread":0.1782149557681165,"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."}}