{"id":"W2012645914","doi":"10.3166/ria.26.85-102","title":"La logique modale des modèles d’équilibre","year":2012,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001770584,0.0004856228,0.0004701842,0.0001524584,0.0004600698,0.0004232499,0.001429325,0.0005037694,0.0009402436],"category_scores_gemma":[0.0005278131,0.0004837276,0.0003278845,0.0009762067,0.001020931,0.001772487,0.000666225,0.0006728523,0.006253147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001939585,"about_ca_system_score_gemma":0.0001937603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001679089,"about_ca_topic_score_gemma":0.00004699106,"domain_scores_codex":[0.9961327,0.0006148742,0.0006886048,0.0007587605,0.0002776958,0.001527407],"domain_scores_gemma":[0.996969,0.0007863402,0.0002204609,0.001168185,0.0002756878,0.0005803261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000127793,0.0009582553,0.003661129,0.0003489169,0.00004304565,0.00005948362,0.02007842,0.007281179,0.001222297,0.651487,0.002492838,0.3123547],"study_design_scores_gemma":[0.00007940594,0.0002768362,0.0009713403,0.0007042637,0.0000597513,0.0007059776,0.002025771,0.6338098,0.06422769,0.05179111,0.2443201,0.001027928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03617261,0.05407053,0.747656,0.0009591291,0.003159756,0.000332426,0.00001166112,0.0002599709,0.1573779],"genre_scores_gemma":[0.9111741,0.00213772,0.01657572,0.0001626155,0.0009780432,0.00004074512,0.000004974839,0.00004705315,0.06887905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8750015,"threshold_uncertainty_score":0.9999731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0793269597150169,"score_gpt":0.2877673711702253,"score_spread":0.2084404114552084,"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."}}