{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009579973,0.0001836375,0.0001803664,0.000508255,0.0002014819,0.00002956741,0.0001605492,0.00009048569,0.000007411955],"category_scores_gemma":[0.00006781254,0.0001291705,0.00006106091,0.0002713537,0.0001083033,0.0002876795,0.00000972377,0.0002795063,0.000007461992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048973,"about_ca_system_score_gemma":0.000003867507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000883995,"about_ca_topic_score_gemma":0.000006996677,"domain_scores_codex":[0.999109,0.00003318742,0.0002541066,0.0002264928,0.0001660719,0.0002111607],"domain_scores_gemma":[0.9984883,0.0009184909,0.00008723685,0.0004237872,0.00005628658,0.00002589607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009442707,0.0001515601,0.00003339429,0.0001960636,0.00009449801,0.000001618182,0.000284314,0.009473983,0.1631983,0.0004377697,0.00004147074,0.8259926],"study_design_scores_gemma":[0.002717198,0.006381144,0.006727126,0.004221005,0.0001664834,0.00007271918,0.001456574,0.07658473,0.8943926,0.005511274,0.0008311656,0.0009379571],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5459026,0.00001324475,0.452508,0.00008268935,0.0008679354,0.0002194092,0.000002689679,0.0002977928,0.0001056101],"genre_scores_gemma":[0.9959865,0.0001709726,0.00361412,0.00001713483,0.00006945174,0.00004597693,0.000001388314,0.00002844841,0.00006601249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8250546,"threshold_uncertainty_score":0.5267419,"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."}}