{"id":"W2123236875","doi":"10.1145/2212776.2212380","title":"BodiPod","year":2012,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Stereoscopy; Slicing; Volume rendering; Computer science; Computer graphics (images); Human anatomy; Rendering (computer graphics); Shutter; Computer vision; Gesture; Artificial intelligence; Anatomy; Physics; Optics","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":[0.0004038833,0.0006657515,0.0004585823,0.0005268915,0.0003391346,0.001438233,0.00171055,0.0007315124,0.07447079],"category_scores_gemma":[0.00121631,0.0005418445,0.0004522001,0.0003086483,0.0002455595,0.001391062,0.002552003,0.0008450231,0.02133727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002596935,"about_ca_system_score_gemma":0.000601875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0019903,"about_ca_topic_score_gemma":0.002462418,"domain_scores_codex":[0.9996628,0.00003323679,0.00001679239,0.00007195384,0.0001593751,0.00005588257],"domain_scores_gemma":[0.9994428,0.0001022303,0.00002023537,0.000139598,0.0001485289,0.0001465728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002432045,0.0002380852,0.004396551,0.00124046,0.00009866753,0.0008885991,0.0006571525,0.002798374,0.06607931,0.01355341,0.4832698,0.4243475],"study_design_scores_gemma":[0.0002282834,0.0003444462,0.004570809,0.0001977638,0.000066396,0.002322071,0.0001815653,0.02156293,0.03224578,0.004488069,0.9336214,0.0001704907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03907169,0.003284989,0.5629629,0.001028463,0.0009226849,0.001347439,0.02975261,0.1709754,0.1906537],"genre_scores_gemma":[0.3318204,0.003512094,0.4243263,0.002768097,0.0002005548,0.00171114,0.05732578,0.02493256,0.153403],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07447079,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901966484198179,"score_gpt":0.260247039823203,"score_spread":0.2412273749812212,"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."}}