{"id":"W2102056873","doi":"10.1109/vecims.2011.6053855","title":"Comparison of multiple 3D rotation methods","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Rotation (mathematics); Significant difference; Computer science; Artificial intelligence; Minor (academic); Computer vision; Simulation; Human–computer interaction; Mathematics; Statistics; Humanities","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":[0.003494902,0.001307221,0.001517985,0.003347899,0.000431863,0.002043775,0.001409962,0.0009048721,0.01419757],"category_scores_gemma":[0.02021499,0.0008674701,0.001648102,0.002578913,0.0005348863,0.001820412,0.002202248,0.000665795,0.002597248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004062256,"about_ca_system_score_gemma":0.0006614928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007556194,"about_ca_topic_score_gemma":0.0008255462,"domain_scores_codex":[0.9920583,0.002235383,0.0006192242,0.000768122,0.004018561,0.0003004543],"domain_scores_gemma":[0.9854074,0.008101298,0.0008258054,0.002222161,0.003117203,0.00032617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002094597,0.0002827797,0.002851562,0.00159795,0.0003085949,0.00008865328,0.0004120043,0.01272133,0.03692602,0.002818101,0.002487479,0.9374109],"study_design_scores_gemma":[0.001772239,0.009250347,0.07353862,0.00192151,0.001288061,0.007270224,0.002507754,0.521067,0.2403501,0.009414872,0.1301244,0.001494926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08970948,0.00557684,0.889688,0.0002436881,0.0007773557,0.0007918101,0.0007961139,0.003385422,0.009031384],"genre_scores_gemma":[0.3294079,0.004039978,0.6584893,0.0001042922,0.0002093447,0.0006670692,0.001299294,0.001375892,0.004406944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01419757,"threshold_uncertainty_score":0.04749554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115902573604877,"score_gpt":0.4081422149182311,"score_spread":0.2965519575577433,"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."}}