{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003379182,0.00003738251,0.00004523713,0.00002356741,0.00001537241,0.00003824925,0.0001377584,0.0000117966,0.0002194916],"category_scores_gemma":[0.000003434991,0.00002849506,0.00001294925,0.00003339038,0.000005894617,0.000313603,0.00008841938,0.00003377144,0.001231924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004616915,"about_ca_system_score_gemma":0.000006149984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001703895,"about_ca_topic_score_gemma":0.000001042918,"domain_scores_codex":[0.9996985,0.000007552568,0.0000396442,0.0001245732,0.00004747511,0.00008229286],"domain_scores_gemma":[0.9997821,0.00002813704,0.00001184936,0.0001349162,0.00001910331,0.00002391904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001824667,0.00005376829,0.01158097,0.00001546927,0.00003276306,0.00001283966,0.001253911,0.000006134152,0.1718853,0.7628176,0.0473858,0.004937201],"study_design_scores_gemma":[0.002311282,0.001022647,0.4368839,0.00006251885,0.00001000214,0.000144147,0.001035189,0.04069922,0.3071963,0.009302202,0.2002886,0.001043977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3527284,0.00003687014,0.1388117,0.00149662,0.0004946635,0.0001231921,9.889226e-7,0.0000247858,0.5062827],"genre_scores_gemma":[0.989995,0.000003083577,0.00233469,0.001604555,0.000009667386,7.215398e-7,6.66401e-7,0.000001478442,0.006050108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7535154,"threshold_uncertainty_score":0.9995458,"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."}}