{"id":"W4402475555","doi":"10.1109/ccece59415.2024.10667093","title":"Belief Revision for Physical Robots: Opportunities and Challenges","year":2024,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Robot; Computer science; Human–computer interaction; Artificial intelligence","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":[0.01282665,0.0006836737,0.001470531,0.0007242516,0.001282623,0.00515027,0.003902899,0.002992099,0.003889716],"category_scores_gemma":[0.02759005,0.0006686068,0.001541654,0.0009146931,0.006930849,0.008041343,0.003505977,0.005048982,0.0005872924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002624351,"about_ca_system_score_gemma":0.002291851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002709334,"about_ca_topic_score_gemma":0.002013128,"domain_scores_codex":[0.9905868,0.005984452,0.0002813468,0.0008297332,0.001805681,0.000511958],"domain_scores_gemma":[0.9641757,0.02843298,0.001215822,0.003138868,0.002026467,0.00101016],"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":[0.0001669236,0.0001973014,0.001069407,0.000557381,0.0001090284,0.0002410313,0.001306388,0.06898751,0.001969705,0.8490475,0.003989558,0.07235828],"study_design_scores_gemma":[0.00009575107,0.0001215064,0.0002923583,0.00009675031,0.00002551352,0.0001051157,0.0003879232,0.2495513,0.001097406,0.7392984,0.008880708,0.00004727783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03891482,0.004720137,0.9186876,0.02423429,0.0003553767,0.0001290688,0.0000893085,0.0005658034,0.01230372],"genre_scores_gemma":[0.742319,0.00286507,0.2481647,0.001446132,0.0005814363,0.0003155955,0.0001221781,0.0001220491,0.004063678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01282665,"threshold_uncertainty_score":0.06783462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1124426363828806,"score_gpt":0.2967391672280979,"score_spread":0.1842965308452172,"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."}}