{"id":"W4366548959","doi":"10.1145/3544549.3585817","title":"Throughput and Effective Parameters in Crossing","year":2023,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Throughput; Fitts's law; Metric (unit); Task (project management); Computer science; Operator (biology); Algorithm; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.004469969,0.001344689,0.0008190649,0.00208155,0.0005304628,0.002621169,0.001388722,0.001389941,0.00313235],"category_scores_gemma":[0.04000305,0.0008345005,0.0008526942,0.001322925,0.002001103,0.005867533,0.001611495,0.001290763,0.001356264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001404478,"about_ca_system_score_gemma":0.000680819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035626,"about_ca_topic_score_gemma":0.0005328981,"domain_scores_codex":[0.9960473,0.0007649521,0.000300421,0.001287125,0.001284558,0.0003156282],"domain_scores_gemma":[0.9748849,0.01617504,0.002807107,0.003342727,0.00219793,0.0005922115],"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":[0.001932216,0.0005023576,0.04425707,0.001128569,0.0004299807,0.001066254,0.003088799,0.4231908,0.2460436,0.0549421,0.002724072,0.2206943],"study_design_scores_gemma":[0.00006972051,0.001681409,0.1300202,0.0002177156,0.0002091221,0.002783102,0.0006943416,0.6004018,0.1128464,0.1451992,0.005303068,0.0005739324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4436129,0.001158076,0.5453926,0.0002012736,0.0001248213,0.000147397,0.000658963,0.001315449,0.007388621],"genre_scores_gemma":[0.9811772,0.000192126,0.01654821,0.0000467407,0.00002897313,0.0001081032,0.0003025488,0.0003879742,0.001208113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004469969,"threshold_uncertainty_score":0.0236398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05701845910887551,"score_gpt":0.3386268821532598,"score_spread":0.2816084230443843,"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."}}