{"id":"W2080733255","doi":"10.1145/2790994.2791014","title":"Influence of movement expertise on a virtual point-to-origin task","year":2015,"lang":"en","type":"article","venue":"","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Heading (navigation); Movement (music); Task (project management); Dance; Motion (physics); Point (geometry); Orientation (vector space); Cognitive psychology; Computer science; Psychology; Affect (linguistics); Artificial intelligence; Virtual reality; Human–computer interaction; Communication; Engineering; Mathematics; Aesthetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008471278,0.000437239,0.0004587655,0.0003662916,0.0002191725,0.0007354656,0.0002730528,0.0005274673,0.003397163],"category_scores_gemma":[0.01985616,0.0001678442,0.0001956443,0.0001260203,0.0005195923,0.0005401282,0.0008809977,0.0004120696,0.0002772776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001404522,"about_ca_system_score_gemma":0.0001406683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001650999,"about_ca_topic_score_gemma":0.001701689,"domain_scores_codex":[0.9989968,0.0003967859,0.00009104906,0.0002638625,0.0001391932,0.0001122222],"domain_scores_gemma":[0.9838296,0.01311115,0.001067777,0.0004739128,0.0004147021,0.0011029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02106521,0.003871533,0.1747727,0.0006148748,0.0005039204,0.002355838,0.01461195,0.007243493,0.6823296,0.000398484,0.000812186,0.09142022],"study_design_scores_gemma":[0.0004941522,0.007039228,0.9421209,0.00008990764,0.0002503387,0.001345581,0.004240857,0.01443892,0.02680307,0.0009912611,0.002052277,0.0001337262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987,0.00002928895,0.0002849104,0.0000156497,0.000004897322,0.000006676314,0.00001137845,0.000007548117,0.000939593],"genre_scores_gemma":[0.9989119,0.00003087992,0.0004347495,0.00002125453,0.000006463105,0.00001555994,0.00002915144,0.00001448329,0.0005356765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003397163,"threshold_uncertainty_score":0.01136464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811809413907989,"score_gpt":0.2492837681413881,"score_spread":0.2311656740023083,"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."}}