{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562517,0.001205329,0.0009289905,0.0008351316,0.0006637248,0.00263497,0.002420549,0.001411156,0.02944756],"category_scores_gemma":[0.00768745,0.0006763989,0.001390063,0.0006575716,0.0006219222,0.002710942,0.002308917,0.001806579,0.01265507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122654,"about_ca_system_score_gemma":0.002619246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006291264,"about_ca_topic_score_gemma":0.0102852,"domain_scores_codex":[0.9989185,0.0002650158,0.00005612725,0.0002958481,0.0003208349,0.0001437533],"domain_scores_gemma":[0.9982269,0.0006747512,0.0001453409,0.0004644849,0.0003560644,0.0001324721],"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":[0.001180472,0.0003403428,0.006845655,0.0008110018,0.0003496949,0.0002777526,0.000278697,0.2960807,0.002601245,0.1027573,0.1841088,0.4043684],"study_design_scores_gemma":[0.0001017808,0.0001041584,0.0006070343,0.00007846926,0.00006563822,0.0001378661,0.00005080523,0.8671405,0.001713009,0.06686455,0.06309067,0.00004553682],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0154769,0.001822313,0.8767056,0.00253729,0.0007291415,0.000412514,0.00770919,0.03171619,0.06289089],"genre_scores_gemma":[0.3746609,0.002135063,0.533676,0.001954839,0.000479738,0.0009775478,0.01815877,0.007071966,0.06088521],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02944756,"threshold_uncertainty_score":0,"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."}}