{"id":"W2070177757","doi":"10.1145/2696454.2696492","title":"OPTIMo","year":2015,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Supervisor; Computer science; Inference; Robot; Moment (physics); Artificial intelligence; Probabilistic logic; Range (aeronautics); Human–robot interaction; Human–computer interaction; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009660669,0.00002990351,0.00003654678,0.00003037764,0.00001502288,0.00001028926,0.00004470035,0.00002619077,0.0657183],"category_scores_gemma":[0.00001478338,0.0000247292,0.00001814536,0.00003533205,0.000009245097,0.00004449324,0.000007181079,0.00004052654,0.02997458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001376053,"about_ca_system_score_gemma":0.000008294944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004113271,"about_ca_topic_score_gemma":0.000008694356,"domain_scores_codex":[0.9996995,0.00003057185,0.00008282722,0.00006809114,0.00005429949,0.00006472955],"domain_scores_gemma":[0.9997439,0.00001458475,0.00001622487,0.0001185392,0.0000400953,0.00006659207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001800142,0.00004961648,0.0009374744,3.683238e-7,0.00001393392,0.000004158584,0.002283406,0.000006725658,0.00001093281,0.2109184,0.7783798,0.007377206],"study_design_scores_gemma":[0.0004135731,0.00003125195,0.0092534,7.817109e-7,0.00000165328,0.00001843193,0.00173509,0.0002317582,0.00002671508,0.0004263454,0.9878063,0.00005474743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.015753,0.000008510644,0.003922126,0.0009371629,0.001288392,0.00003017071,5.150219e-7,0.0001653963,0.9778947],"genre_scores_gemma":[0.7442384,1.597654e-7,0.0005359642,0.0009139826,0.00006740892,0.00000686761,0.000002494498,0.000003751835,0.254231],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7284854,"threshold_uncertainty_score":0.9707807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1161729420709032,"score_gpt":0.4385319933323678,"score_spread":0.3223590512614646,"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."}}