{"id":"W2111156987","doi":"","title":"Les apports potentiels des modèles de la base économique pour guider la décision publique","year":2001,"lang":"fr","type":"article","venue":"Cairn.info","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.002009105,0.0003410483,0.0004286673,0.0001053234,0.001183699,0.0003964543,0.000368408,0.0006443394,0.002548645],"category_scores_gemma":[0.001200954,0.0003531623,0.000322617,0.0003845954,0.002335597,0.0006727967,0.0001685221,0.0003565838,0.0001485851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002521652,"about_ca_system_score_gemma":0.0007209787,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2417468,"about_ca_topic_score_gemma":0.02565891,"domain_scores_codex":[0.9971808,0.0008435458,0.0004798677,0.0004162819,0.0002627875,0.000816702],"domain_scores_gemma":[0.9980622,0.0008624456,0.000194313,0.000218023,0.0002570525,0.0004059853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002832872,0.0003680566,0.06796844,0.00009433705,0.0001615341,0.0004017038,0.03623108,0.0003680574,0.00008268689,0.570714,0.1345542,0.1890276],"study_design_scores_gemma":[0.0003974279,0.0000502804,0.05391465,0.0001724714,0.00005849408,0.00003166057,0.006507233,0.000549954,0.00006589524,0.0721151,0.8656824,0.0004544577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3124288,0.0189842,0.005337628,0.005723285,0.0009560368,0.0002741694,0.00001952815,0.0001432717,0.6561331],"genre_scores_gemma":[0.6802612,0.01372759,0.002697506,0.0006695198,0.001141263,0.0000456977,0.000005397038,0.00003588948,0.301416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7311282,"threshold_uncertainty_score":0.9998921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0918281662743516,"score_gpt":0.3009393733597636,"score_spread":0.209111207085412,"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."}}