{"id":"W2760427237","doi":"","title":"Sensor Noise and Ecological Interface Design: Effects of Noise Magnitude on Operators’ Performance and Control Strategies","year":2011,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Noise (video); Magnitude (astronomy); Interface (matter); Control (management); Computer science; Engineering; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003631209,0.0008818451,0.0003843177,0.0003785137,0.0003340744,0.001442971,0.0005178383,0.0007914806,0.001668677],"category_scores_gemma":[0.03404208,0.0003890953,0.0003787565,0.0002081534,0.0005347925,0.00110111,0.001010051,0.0005067487,0.0002023317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003305291,"about_ca_system_score_gemma":0.0004434268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007541893,"about_ca_topic_score_gemma":0.0007808814,"domain_scores_codex":[0.9963625,0.001596608,0.0005104906,0.0004756852,0.0008594617,0.0001951964],"domain_scores_gemma":[0.9775255,0.01768801,0.001974274,0.0007526775,0.001630459,0.000428984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01559673,0.006459607,0.1102643,0.002782211,0.0006163382,0.0005332053,0.01089616,0.03464517,0.58886,0.00138419,0.0005404041,0.2274217],"study_design_scores_gemma":[0.001098417,0.05633879,0.6384926,0.0004912508,0.00128647,0.0007668968,0.01286872,0.07604297,0.2044988,0.003022511,0.004636351,0.0004562663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912443,0.00008274047,0.007579182,0.00005453016,0.00002202331,0.00009519883,0.00001916559,0.00002813017,0.0008747561],"genre_scores_gemma":[0.9881833,0.00009267323,0.01111952,0.00006691077,0.00001107208,0.000123003,0.00003591763,0.00001553118,0.0003520095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003631209,"threshold_uncertainty_score":0.0192039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747261114687615,"score_gpt":0.2939732744532198,"score_spread":0.2765006633063437,"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."}}