{"id":"W2346231062","doi":"","title":"Deuxième génération : Slam","year":2016,"lang":"fr","type":"article","venue":"Nouveaux cahiers du socialisme","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer 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","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001106541,0.0005123909,0.000534569,0.0001328641,0.001854857,0.0002724159,0.0005974033,0.001231047,0.002697064],"category_scores_gemma":[0.00119645,0.0004460639,0.0004371105,0.0005152897,0.005527641,0.001390317,0.00007430953,0.0003815451,0.001757147],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007244762,"about_ca_system_score_gemma":0.002273005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004805367,"about_ca_topic_score_gemma":0.005770156,"domain_scores_codex":[0.9947591,0.001129746,0.0007885882,0.0007502952,0.001149614,0.001422644],"domain_scores_gemma":[0.9971373,0.0004868823,0.0004851543,0.0004361705,0.0008731936,0.0005813091],"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":[0.0000125539,0.0001176694,0.002685996,0.00002751605,0.0001162557,0.0000121647,0.1662483,0.000002539692,0.0007781998,0.73682,0.08760233,0.005576489],"study_design_scores_gemma":[0.001264614,0.00006743001,0.009791281,0.00009672541,0.0002005312,0.000007412403,0.03159592,0.00003784278,0.0006495494,0.01048142,0.9449331,0.0008742209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5062527,0.001945546,0.001903909,0.3723118,0.01807095,0.001291858,0.0004277889,0.0005242429,0.09727118],"genre_scores_gemma":[0.7149857,0.001813654,0.0006130111,0.01437849,0.009208662,0.00006379029,0.00005695051,0.00009825504,0.2587815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8573307,"threshold_uncertainty_score":0.9997991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06112267102515711,"score_gpt":0.3527265733431157,"score_spread":0.2916039023179586,"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."}}