{"id":"W1979209890","doi":"10.3166/ria.27.569-593","title":"Systèmes d’inférence floue : collaboration expertise et données dans un environnement de modélisation intégrée à l’aide de FisPro","year":2013,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.001253423,0.0002687748,0.0002811187,0.0001171542,0.0006961923,0.0002212252,0.0008775458,0.0004050134,0.002857061],"category_scores_gemma":[0.000807536,0.0003058653,0.0001032143,0.0008364947,0.0009918803,0.0006600127,0.0001894132,0.0003986507,0.001489571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008016813,"about_ca_system_score_gemma":0.0003358278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008608467,"about_ca_topic_score_gemma":0.004116234,"domain_scores_codex":[0.9969299,0.0008901695,0.0007191343,0.00046939,0.0002874299,0.0007039312],"domain_scores_gemma":[0.9979033,0.0004672847,0.0003283904,0.000818987,0.0002315806,0.0002503893],"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":[0.00001548441,0.0007862494,0.004365011,0.0001391005,0.0000588215,0.000008886398,0.2201331,0.03274127,0.03098334,0.3711098,0.002328751,0.3373302],"study_design_scores_gemma":[0.00009507863,0.0001347332,0.001105784,0.0003213685,0.00004345828,0.00001313638,0.08001615,0.7675878,0.09390967,0.02581516,0.03047372,0.0004838776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5036943,0.007401709,0.375002,0.0969319,0.000993898,0.001601625,0.0000251214,0.0003130437,0.01403639],"genre_scores_gemma":[0.9746804,0.007487316,0.01092262,0.0006533888,0.0001499497,0.0004723699,0.00002638188,0.00002748999,0.005580143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7348466,"threshold_uncertainty_score":0.9999393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644775676573916,"score_gpt":0.3034913438994638,"score_spread":0.2470435871337247,"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."}}