{"id":"W3003076508","doi":"10.24908/iqurcp.10641","title":"7. Shape and Motion Integration in People Perception Depends on the Action of the Performer","year":2018,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Motion (physics); Perception; Action (physics); Performing arts; Object (grammar); Biological motion; Kinematics; Communication; Artificial intelligence; Motion capture; Computer vision; Psychology; Computer science; Physics; Visual arts; Art; Classical mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001715468,0.000118786,0.0001194277,0.0002949762,0.0003524165,0.0004121049,0.0007010827,0.00007797384,0.00003543695],"category_scores_gemma":[0.000489805,0.00007159475,0.00003066927,0.001292962,0.0004762935,0.0009549778,0.0003178864,0.000392261,0.00002871177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001178414,"about_ca_system_score_gemma":0.0001243085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001678048,"about_ca_topic_score_gemma":0.0001927297,"domain_scores_codex":[0.9981836,0.0001400808,0.0002542936,0.0003579918,0.0007843745,0.0002796405],"domain_scores_gemma":[0.9984847,0.0001189704,0.0001165936,0.0002434645,0.0009799897,0.00005632241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000447456,0.0001422597,0.0158637,0.0000656228,0.0000119955,2.615719e-7,0.01577736,0.000002463376,0.02413024,0.8212624,0.002523134,0.1201758],"study_design_scores_gemma":[0.0004998244,0.0006223767,0.1333003,0.0004718607,0.000008782848,0.00001059619,0.01131287,0.7581927,0.02429623,0.07030313,0.00070735,0.0002739517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9178874,0.000003584496,0.04493663,0.03444878,0.0001541356,0.0004213261,0.000001874,0.00003884219,0.002107413],"genre_scores_gemma":[0.9990578,0.0001882755,0.0001922657,0.0001549555,0.0000814935,0.00002398746,0.000003563022,0.000007282195,0.0002903565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7581903,"threshold_uncertainty_score":0.3973937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1470669104366305,"score_gpt":0.3956191493023162,"score_spread":0.2485522388656857,"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."}}