{"id":"W2396014525","doi":"10.1145/2845081","title":"The Effects of Changing Projection Geometry on Perception of 3D Objects on and Around Tabletops","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Computer-Human Interaction","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Saskatchewan; University of Waterloo","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Parallax; Projection (relational algebra); Projection plane; Graphical projection; Computer vision; Parallel projection; Computer science; 3D projection; Artificial intelligence; Perspective (graphical); Oblique projection; Computer graphics (images); Orientation (vector space); Object (grammar); Perception; Observer (physics); Geometry; Orthographic projection; Mathematics; Algorithm; Image (mathematics); Psychology; Physics","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":[0.001204555,0.00106156,0.0005616936,0.0004894956,0.0005871332,0.001763465,0.0006958887,0.001045364,0.003520502],"category_scores_gemma":[0.03129833,0.0008682627,0.0006214029,0.0003245299,0.001258016,0.001474339,0.001967262,0.0009253134,0.000319947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915016,"about_ca_system_score_gemma":0.0003414633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002424335,"about_ca_topic_score_gemma":0.001787191,"domain_scores_codex":[0.9971837,0.001329463,0.0002798212,0.0004391407,0.0004546541,0.0003131543],"domain_scores_gemma":[0.9510468,0.04163881,0.002116222,0.002898018,0.001231837,0.001068382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01673193,0.001262575,0.02679416,0.0009945414,0.0002535119,0.001082404,0.004891039,0.01272194,0.8658624,0.0004655152,0.0005237118,0.0684162],"study_design_scores_gemma":[0.001797122,0.02121367,0.5768679,0.0002648705,0.0007816825,0.002099982,0.004811842,0.02650247,0.3603115,0.002096298,0.002474271,0.0007783005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997145,0.0001051367,0.001685057,0.00003460765,0.00002089224,0.00005357373,0.00008066188,0.00005894566,0.0008161843],"genre_scores_gemma":[0.9952624,0.0001104193,0.004048557,0.00005340974,0.00001061512,0.00006529105,0.0001170272,0.00005816679,0.0002741991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003520502,"threshold_uncertainty_score":0.01177722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009570069059705246,"score_gpt":0.2530350397761815,"score_spread":0.2434649707164763,"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."}}