{"id":"W4230627982","doi":"10.1109/thms.2014.2338532","title":"IEEE Transactions on Human-Machine Systems publication information","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Human-Machine Systems","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Computer science; Human–machine system; World Wide Web; Data science; Information retrieval; Human–computer interaction","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":["insufficient_payload"],"category_scores_codex":[0.001831569,0.001190135,0.001589435,0.002752929,0.0008160465,0.003500853,0.0009622923,0.001780057,0.3501233],"category_scores_gemma":[0.005060985,0.0004692155,0.0005850607,0.002384252,0.0005701214,0.003097571,0.001232796,0.001641034,0.1707192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006723211,"about_ca_system_score_gemma":0.001710937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002369164,"about_ca_topic_score_gemma":0.003352802,"domain_scores_codex":[0.9985789,0.0001683751,0.0001037597,0.0001331011,0.000907962,0.0001078955],"domain_scores_gemma":[0.9958577,0.000960814,0.0001226402,0.0005915909,0.002232392,0.0002349023],"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":[0.0001369651,0.0001278488,0.0006650789,0.0003811302,0.00002679948,0.0000879229,0.00004201556,0.001331866,0.001383495,0.008177731,0.6434677,0.3441714],"study_design_scores_gemma":[0.00004099743,0.0001061977,0.002581322,0.0003408725,0.00006211202,0.0002045659,0.00009113043,0.009957694,0.0017261,0.01222179,0.9726298,0.00003749964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008986935,0.03393339,0.1709881,0.0234054,0.1132106,0.000808821,0.01607972,0.00682005,0.6257669],"genre_scores_gemma":[0.04120389,0.02720964,0.02158681,0.001783209,0.008616865,0.0002820637,0.01815081,0.001073836,0.8800929],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6498767,"threshold_uncertainty_score":0.9269702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04222023821799235,"score_gpt":0.3524445768534288,"score_spread":0.3102243386354364,"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."}}