{"id":"W4252888950","doi":"10.3917/aj.452.0004","title":"Introduction","year":2012,"lang":"fr","type":"article","venue":"Archives Juives","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"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":[0.0003037828,0.0003292882,0.0002694969,0.0002671047,0.0002243326,0.00005907727,0.0002516633,0.00008123458,0.003814538],"category_scores_gemma":[0.0002377327,0.000361958,0.0001843562,0.0003285164,0.001154036,0.001349354,0.0001966292,0.0004016835,0.05550242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005730561,"about_ca_system_score_gemma":0.00004838557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003629105,"about_ca_topic_score_gemma":0.000005663499,"domain_scores_codex":[0.997155,0.0006215564,0.0003170703,0.0003992518,0.0002388437,0.001268248],"domain_scores_gemma":[0.9984638,0.0003021702,0.0001552136,0.0005899704,0.00001714777,0.000471699],"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":[0.0002174941,0.001425812,0.02799796,0.0002108561,0.0003468906,0.000006616394,0.03809057,0.0001195808,0.1164472,0.4098097,0.1780796,0.2272477],"study_design_scores_gemma":[0.0003280377,0.00008429132,0.1325103,0.00005883638,0.0001318564,0.0001283671,0.000881461,0.0002435293,0.01013641,0.005457006,0.8496554,0.000384462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4058022,0.1817331,0.005133688,0.05653922,0.03116693,0.0009299607,0.0004182694,0.0007740927,0.3175026],"genre_scores_gemma":[0.7965077,0.00130094,0.01515611,0.0001520321,0.03366127,0.00002692005,0.00009704213,0.0001992623,0.1528988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6715758,"threshold_uncertainty_score":0.9998832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413722842013741,"score_gpt":0.2525998481130527,"score_spread":0.2384626196929154,"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."}}