{"id":"W4360613570","doi":"10.3917/cerpsy.153.0016","title":"Le rat qui avait des neurones d’homme","year":2023,"lang":"fr","type":"article","venue":"Cerveau & Psycho","topic":"Neurology and Historical Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Geology; Humanities; Philosophy","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002578377,0.0003510109,0.0004008592,0.0001611343,0.001444092,0.0000805305,0.0006084666,0.000214795,0.0004220327],"category_scores_gemma":[0.0004710101,0.0003733659,0.0002367633,0.001351062,0.00157425,0.0002885885,0.0002764705,0.0005733403,0.01004405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005553785,"about_ca_system_score_gemma":0.0000704918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002808174,"about_ca_topic_score_gemma":0.0002855851,"domain_scores_codex":[0.9969143,0.0004188699,0.0003971925,0.0009528563,0.000295745,0.001021007],"domain_scores_gemma":[0.9984689,0.0005635202,0.0001216188,0.0005459551,0.00005402337,0.0002459601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002922088,0.0009129693,0.0074256,0.0003038359,0.00004803377,0.001355361,0.002809082,0.00006740944,0.03051107,0.08248837,0.8526418,0.02114426],"study_design_scores_gemma":[0.000700286,0.0004433742,0.01604707,0.00003843401,0.00004177185,0.00008592962,0.000101279,0.00006079443,0.005457669,0.01389881,0.9627366,0.0003879873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6901706,0.02248249,0.0000916965,0.1153355,0.04587384,0.0006190678,0.00007083119,0.001072963,0.1242829],"genre_scores_gemma":[0.8577409,0.006800573,0.00003512745,0.005969178,0.0008935071,0.00006256273,0.000003848566,0.00008014655,0.1284141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1675703,"threshold_uncertainty_score":0.9998719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07018433522077615,"score_gpt":0.2997946391030573,"score_spread":0.2296103038822811,"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."}}