{"id":"W2980327802","doi":"10.1145/3332165.3347916","title":"Plane, Ray, and Point","year":2019,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Gesture; Computer science; Set (abstract data type); Point (geometry); Workflow; Object (grammar); Computer vision; Plane (geometry); Virtual reality; Transformation (genetics); Interaction technique; Human–computer interaction; Artificial intelligence; Computer graphics (images); Mathematics; Geometry; Programming language","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":[0.0007950913,0.002189249,0.001034549,0.001341589,0.001248529,0.002878025,0.001680771,0.001516002,0.02386926],"category_scores_gemma":[0.003242822,0.0007941369,0.00152205,0.001289793,0.001982137,0.003949877,0.004104519,0.002161514,0.007740488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003201465,"about_ca_system_score_gemma":0.0007936024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794814,"about_ca_topic_score_gemma":0.002464884,"domain_scores_codex":[0.9981786,0.0003565694,0.0001161586,0.0002795776,0.0008960734,0.0001730457],"domain_scores_gemma":[0.998782,0.0004474695,0.0001137489,0.0003492585,0.0001859323,0.0001215589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006994478,0.000124161,0.001263131,0.001504815,0.0001436182,0.0007104479,0.002251914,0.007022245,0.09368195,0.1267661,0.03822626,0.7276059],"study_design_scores_gemma":[0.0001532188,0.0006519643,0.001421545,0.0003669657,0.0001722619,0.004186936,0.0006783978,0.04464885,0.07288889,0.04266315,0.8318138,0.0003541155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005634126,0.002596278,0.9600214,0.0004813811,0.0003685244,0.0001851472,0.0002735472,0.006499853,0.0239398],"genre_scores_gemma":[0.09623717,0.004182697,0.8694307,0.0007962399,0.0002408231,0.0006244543,0.000641139,0.002091167,0.02575559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02386926,"threshold_uncertainty_score":0.07985055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005162682400116792,"score_gpt":0.2134222138574091,"score_spread":0.2082595314572923,"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."}}