{"id":"W2611792579","doi":"10.1145/3025453.3025951","title":"Modeling User Performance on Curved Constrained Paths","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tree traversal; Constraint (computer-aided design); Path (computing); Computer science; Curvature; Work (physics); Trajectory; Algorithm; Motion planning; Mathematical optimization; Control theory (sociology); Mathematics; Geometry; Artificial intelligence; Robot; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008261423,0.0007018345,0.0003897688,0.0006320875,0.0002921617,0.001029957,0.000773755,0.001046625,0.002819058],"category_scores_gemma":[0.01372524,0.0004151954,0.0003408472,0.0006062909,0.000685939,0.001550194,0.001208386,0.0006366789,0.0005659369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000733546,"about_ca_system_score_gemma":0.0005655799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119128,"about_ca_topic_score_gemma":0.005942379,"domain_scores_codex":[0.9993492,0.0002913647,0.00002331493,0.0001209861,0.0001209505,0.00009414948],"domain_scores_gemma":[0.995639,0.002882668,0.0003375643,0.0004670305,0.0004650331,0.0002086782],"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":[0.0009408232,0.0002820795,0.02389911,0.0001539346,0.0001105173,0.000284174,0.002539145,0.8932891,0.01387886,0.02016048,0.001354758,0.0431071],"study_design_scores_gemma":[0.00001792576,0.0001667949,0.005284787,0.000009669669,0.00001613231,0.00004596173,0.0001301917,0.9866582,0.0009810074,0.006206594,0.0004624344,0.00002032675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8302505,0.0001926559,0.1631031,0.0002331378,0.00001288441,0.00008596333,0.0003350076,0.0003905788,0.005396165],"genre_scores_gemma":[0.9878159,0.0001092052,0.01066151,0.00001807224,0.000004003279,0.0000632196,0.0001242163,0.00004590713,0.001157904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0119128,"threshold_uncertainty_score":0.02368689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547038131072585,"score_gpt":0.2929342057076068,"score_spread":0.247463824396881,"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."}}