{"id":"W4243310653","doi":"10.1109/thms.2014.2321311","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; Data science; Information retrieval; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001446265,0.0008817361,0.0009425993,0.001840783,0.00217141,0.000734261,0.0007101489,0.000626296,0.004965692],"category_scores_gemma":[0.00002664252,0.0008630441,0.0005616832,0.000805101,0.0001633472,0.001614321,0.000001423667,0.001561478,0.006623157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006137417,"about_ca_system_score_gemma":0.00006306605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003729593,"about_ca_topic_score_gemma":0.0005861817,"domain_scores_codex":[0.9933912,0.001273776,0.002448196,0.0009362906,0.001114665,0.0008358376],"domain_scores_gemma":[0.995435,0.0006550191,0.001048014,0.00174677,0.0006528088,0.0004623787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001669075,0.01009885,0.0001432315,0.002155736,0.003924421,0.00002828633,0.02677778,0.6194354,0.007121661,0.1697122,0.06394172,0.09499162],"study_design_scores_gemma":[0.01916583,0.005607735,0.002259758,0.001642847,0.001158171,0.0007890411,0.007567702,0.4100353,0.004441481,0.0003409751,0.5410895,0.005901583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007123191,0.00007702017,0.9054842,0.0005017106,0.01406301,0.002076673,0.0007281618,0.001685396,0.06826063],"genre_scores_gemma":[0.9750732,0.00001402264,0.00003714261,0.0005990574,0.0004702473,0.001493756,0.0003508977,0.0001389247,0.02182277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.96795,"threshold_uncertainty_score":0.999382,"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."}}