{"id":"W2152040280","doi":"10.1145/2395131.2395135","title":"Two-Part Models Capture the Impact of Gain on Pointing Performance","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Computer-Human Interaction","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fitts's law; Computer science; Work (physics); Fragility; Artificial intelligence; Movement (music); Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003155232,0.0003140858,0.0002554765,0.0003093536,0.0005147917,0.0001239577,0.000967338,0.00007733425,0.0001275934],"category_scores_gemma":[0.00001018661,0.0002284665,0.0004020544,0.0003337407,0.00005676891,0.002479228,0.00004137547,0.0006918919,0.0001122096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681312,"about_ca_system_score_gemma":0.00003402506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002799568,"about_ca_topic_score_gemma":0.000008302335,"domain_scores_codex":[0.9982352,0.0001855651,0.000420321,0.00037305,0.0003225324,0.0004633789],"domain_scores_gemma":[0.9979889,0.0003698014,0.0002928682,0.001037362,0.0002063269,0.0001046992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005390169,0.003515131,0.0007895787,0.0000818897,0.0009883411,0.000007272633,0.01728684,0.8173904,0.03284732,0.01458087,0.006822173,0.1051511],"study_design_scores_gemma":[0.001655581,0.002757214,0.0137436,0.0006624831,0.00009033522,0.0002478908,0.000725475,0.8699796,0.1072369,0.001249562,0.0006897838,0.0009615848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3339336,0.00001060771,0.661492,0.0002228444,0.001550809,0.0002051798,0.000008257235,0.0000466987,0.002530006],"genre_scores_gemma":[0.9968705,0.00001031333,0.002183882,0.0003654302,0.0003228921,0.00002935864,0.000009327304,0.00002291532,0.0001853368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.662937,"threshold_uncertainty_score":0.9316595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03754983899106021,"score_gpt":0.315291971995563,"score_spread":0.2777421330045028,"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."}}