{"id":"W2796382375","doi":"10.1145/3173574.3173819","title":"Multiray","year":2018,"lang":"en","type":"article","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":"Computer science; Projection (relational algebra); Point (geometry); Computer graphics (images); Space (punctuation); Computer vision; Artificial intelligence; Algorithm; Geometry; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009166914,0.0007145028,0.0004544926,0.0004701689,0.0003397702,0.001737294,0.001534456,0.000710816,0.03017647],"category_scores_gemma":[0.002260605,0.0003718756,0.0005473243,0.000292086,0.0004204181,0.0016619,0.001985281,0.0008093447,0.003994784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004303089,"about_ca_system_score_gemma":0.0004294993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004289176,"about_ca_topic_score_gemma":0.0005343202,"domain_scores_codex":[0.9990191,0.0001593589,0.00004731487,0.0001408985,0.0005435953,0.00008973802],"domain_scores_gemma":[0.998738,0.0003904997,0.00009599969,0.0003238494,0.0002854976,0.0001661633],"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":[0.002096383,0.0005092106,0.002413738,0.001062269,0.0001235898,0.000481565,0.0007359882,0.03511923,0.2017702,0.06806956,0.02300612,0.6646121],"study_design_scores_gemma":[0.0004981137,0.004636833,0.003636063,0.0002346205,0.0001547908,0.002420815,0.0003637331,0.275322,0.2472533,0.01696912,0.4482623,0.0002483024],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0666963,0.001595048,0.8456855,0.0004870715,0.0005010095,0.0004390022,0.0005272321,0.01417393,0.06989482],"genre_scores_gemma":[0.445554,0.0009418444,0.4875408,0.0005708249,0.0001207463,0.0003995202,0.001026066,0.002262737,0.06158345],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9698235,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033317533699663,"score_gpt":0.2642256283329862,"score_spread":0.2538924529959896,"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."}}