{"id":"W2000760706","doi":"10.3166/ria.18.261-298","title":"Programmation bayésienne des robots","year":2004,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004252979,0.00186879,0.001357689,0.001653872,0.001645979,0.005698754,0.001642117,0.00225088,0.006221381],"category_scores_gemma":[0.009782993,0.001192397,0.002813305,0.001182099,0.006989127,0.005113637,0.002401877,0.008301646,0.002059579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003776025,"about_ca_system_score_gemma":0.002572878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009161685,"about_ca_topic_score_gemma":0.005721975,"domain_scores_codex":[0.9947894,0.002155378,0.0001823244,0.0009182454,0.001680514,0.0002741802],"domain_scores_gemma":[0.997831,0.001366096,0.0001364196,0.0003122755,0.0002594527,0.00009472117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007662944,0.00003818178,0.0002929312,0.0001598376,0.00004636043,0.0001136661,0.0004019835,0.02787579,0.001910945,0.9216728,0.00242334,0.04498735],"study_design_scores_gemma":[0.00018718,0.00009657729,0.0004386198,0.0001226708,0.00004215087,0.0002427076,0.0001782733,0.3257143,0.005410904,0.5852417,0.08224113,0.00008373434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004594082,0.0002519564,0.9845168,0.0005817124,0.0001278001,0.00007435476,0.0001176922,0.000676762,0.009058823],"genre_scores_gemma":[0.1550242,0.001713649,0.8217388,0.000545318,0.0004214737,0.0008240423,0.0005441785,0.000504027,0.01868437],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009161685,"threshold_uncertainty_score":0.02739716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06938033144524185,"score_gpt":0.2833472566051876,"score_spread":0.2139669251599458,"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."}}