{"id":"W4255961083","doi":"10.1109/tcyb.2018.2850158","title":"IEEE Transactions on Cybernetics","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Internet of Things and AI","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Cybernetics; Computer science; Cognitive science; Psychology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001163231,0.0009309239,0.001034387,0.001184699,0.0004577586,0.003298043,0.0005880074,0.001540656,0.03611313],"category_scores_gemma":[0.002731652,0.0002549369,0.0005055231,0.0009159981,0.001178534,0.001894278,0.001006407,0.001943131,0.01021938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005522994,"about_ca_system_score_gemma":0.001019376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003005103,"about_ca_topic_score_gemma":0.003164333,"domain_scores_codex":[0.9993718,0.0001278657,0.000056275,0.00008781873,0.0003140807,0.00004228556],"domain_scores_gemma":[0.9981917,0.0003426991,0.00005784642,0.0004487894,0.0008491516,0.0001098321],"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":[0.0001989695,0.0001889374,0.002966393,0.0006397374,0.0001964372,0.0003097171,0.0002185788,0.01422929,0.006879403,0.1405591,0.1909231,0.6426905],"study_design_scores_gemma":[0.00004637299,0.0001379749,0.003074502,0.0003068741,0.0001706269,0.0004997262,0.0002987139,0.04946127,0.003210036,0.1403226,0.8024189,0.00005237203],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01693342,0.05332756,0.4600409,0.02922507,0.07185524,0.0002694988,0.001613014,0.002353435,0.3643819],"genre_scores_gemma":[0.3904791,0.06118172,0.1687726,0.005338725,0.008454315,0.0005396194,0.003574836,0.0005788169,0.3610803],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9638869,"threshold_uncertainty_score":0.1208104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749639726608877,"score_gpt":0.2484594518436753,"score_spread":0.2309630545775865,"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."}}