{"id":"W4251113694","doi":"10.1051/medsci/20062267659","title":"L’évolution du cerveau humain : de la matière grasse à la matière grise","year":2006,"lang":"fr","type":"article","venue":"médecine/sciences","topic":"Diet and metabolism studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Philosophy; Art","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"],"consensus_categories":[],"category_scores_codex":[0.003478643,0.0004494223,0.0006783743,0.0003164774,0.0008899242,0.0002396962,0.0004299136,0.00028847,0.0004434345],"category_scores_gemma":[0.0007392131,0.0003708284,0.0002393017,0.001128995,0.003240228,0.0004268941,0.0001752851,0.0003747641,0.0003120528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043059,"about_ca_system_score_gemma":0.0003900507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005032866,"about_ca_topic_score_gemma":0.0005693028,"domain_scores_codex":[0.9962055,0.0005990356,0.0006434163,0.0006279448,0.0008075782,0.001116505],"domain_scores_gemma":[0.9981328,0.001008661,0.0002346412,0.000295474,0.0001255313,0.0002028626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005020106,0.001304383,0.4603926,0.0004546189,0.0000945498,0.0002088671,0.001642273,0.0003839288,0.003027681,0.321639,0.1889266,0.0218753],"study_design_scores_gemma":[0.001790687,0.0002824345,0.6920893,0.0005797885,0.0003449268,0.000100363,0.00189073,0.0009881549,0.0003541913,0.02349524,0.2776959,0.0003882779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5120272,0.04101136,0.0005155298,0.009308963,0.003077119,0.000414813,0.00004256058,0.0001517932,0.4334506],"genre_scores_gemma":[0.9558471,0.003713017,0.003880218,0.0003789212,0.00528137,0.00005474609,0.00001525242,0.00003951311,0.03078981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4438199,"threshold_uncertainty_score":0.9998744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602449539263581,"score_gpt":0.2898723761250281,"score_spread":0.2738478807323923,"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."}}