{"id":"W4254158391","doi":"10.1109/thms.2017.2671618","title":"2017 IEEE International Conference on Systems, Man, and Cybernetics, October 5–8, 2017, Banff Center, Banff, Canada","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Human-Machine Systems","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Center (category theory); Cybernetics; Library science; Geography; Computer science; Artificial intelligence; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001618194,0.001075635,0.001161518,0.00143387,0.001387971,0.003057288,0.001065514,0.0009137313,0.08253692],"category_scores_gemma":[0.001309843,0.0002776696,0.0005796396,0.001148893,0.001138711,0.001300625,0.001554593,0.001354402,0.03765958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002246982,"about_ca_system_score_gemma":0.008364301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08686803,"about_ca_topic_score_gemma":0.147198,"domain_scores_codex":[0.9993174,0.0000647552,0.00003207043,0.00006859507,0.0003547255,0.00016243],"domain_scores_gemma":[0.9983632,0.0001108165,0.00002247365,0.0001592506,0.001113567,0.0002306087],"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":[0.0001847701,0.0001508405,0.002655334,0.000265894,0.00005716117,0.0002622244,0.0002037055,0.003034267,0.00484261,0.01576097,0.571975,0.4006073],"study_design_scores_gemma":[0.00001400957,0.00005472712,0.003270796,0.0002385723,0.00006652783,0.0002506805,0.0005678035,0.01893778,0.004684902,0.005254896,0.9666238,0.00003542342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03822195,0.04599755,0.2401981,0.01689932,0.04925026,0.0004816368,0.003757146,0.009539071,0.595655],"genre_scores_gemma":[0.1139358,0.02984588,0.04540392,0.001398353,0.002326779,0.0002279325,0.01014474,0.0008439122,0.7958726],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08686803,"threshold_uncertainty_score":0.2761135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06134236329312846,"score_gpt":0.303581919121339,"score_spread":0.2422395558282106,"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."}}