{"id":"W2614835516","doi":"","title":"NEUROBOT : expériences croisées neurobiologie et robotique pour la compréhension des mécanismes cognitifs","year":2012,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NeuroDevNet","funders":"","keywords":"Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005899545,0.0007983373,0.0002778367,0.0004037159,0.0004592234,0.001837188,0.0005645894,0.001245933,0.02182139],"category_scores_gemma":[0.001928522,0.0003047457,0.0003187933,0.0003787366,0.001109191,0.003219404,0.001110708,0.000996753,0.002562134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734658,"about_ca_system_score_gemma":0.0003530274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012712,"about_ca_topic_score_gemma":0.001087836,"domain_scores_codex":[0.9997711,0.00008100476,0.00000864167,0.00005581884,0.00005569723,0.00002773247],"domain_scores_gemma":[0.9995829,0.0002499795,0.00001790988,0.00006307892,0.00004116497,0.00004501169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003005279,0.0004474101,0.0054595,0.001792092,0.0001728203,0.003715047,0.03035255,0.01274127,0.3480804,0.1133453,0.02462473,0.4562637],"study_design_scores_gemma":[0.0007832964,0.002647843,0.05442344,0.0008398048,0.0002719339,0.009475335,0.02232308,0.1068804,0.1778866,0.2514167,0.3725906,0.0004610312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3285046,0.004867414,0.5893399,0.002169217,0.0009374901,0.0003380692,0.002110005,0.003878143,0.06785519],"genre_scores_gemma":[0.8531047,0.001424079,0.1181752,0.0003269311,0.0001446343,0.0004181301,0.0007103732,0.0008373202,0.02485862],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02182139,"threshold_uncertainty_score":0.07299989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265460569007917,"score_gpt":0.2615941298187693,"score_spread":0.2189395241286901,"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."}}