{"id":"W3108616151","doi":"10.4204/eptcs.329.1","title":"How to Formally Model Human in Collaborative Robotics","year":2020,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Robotics; Robot; Workspace; Artificial intelligence; Computer science; Human–robot interaction; Human–computer interaction; Risk analysis (engineering); Business","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":[],"consensus_categories":[],"category_scores_codex":[0.002147362,0.000244454,0.0002924541,0.0003814777,0.0002060632,0.0008290237,0.003577765,0.00008465543,0.000001375613],"category_scores_gemma":[0.0004989982,0.0002355078,0.00003499798,0.005552056,0.0006828378,0.002270001,0.001146942,0.0005960719,0.000008796838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004693143,"about_ca_system_score_gemma":0.0004362728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.691199e-7,"about_ca_topic_score_gemma":0.000001963659,"domain_scores_codex":[0.9965906,0.00003857491,0.0003912385,0.001033776,0.0007533733,0.001192496],"domain_scores_gemma":[0.9988655,0.00004833283,0.0001062813,0.0002976411,0.0003439552,0.0003382857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001657025,0.00003003004,0.00006523372,0.00001189441,0.000001190473,0.000002010211,0.002959792,0.007830185,0.003717495,0.979213,0.00002069599,0.006131924],"study_design_scores_gemma":[0.0002517911,0.0005406752,0.0001546453,0.00002427019,0.000001070163,0.000005106828,0.00003331202,0.8035916,0.009532715,0.1855665,0.00005524915,0.0002430562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02053754,0.00002055171,0.9623436,0.01415684,0.00008157913,0.0004921153,4.614921e-7,0.0001494489,0.002217802],"genre_scores_gemma":[0.5598618,0.000002152144,0.4390523,0.001001571,0.00004667511,0.000024698,1.490969e-7,0.000007226652,0.000003410147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7957614,"threshold_uncertainty_score":0.960373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573372877370271,"score_gpt":0.277300833355258,"score_spread":0.2615671045815553,"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."}}