{"id":"W2149852141","doi":"10.1016/j.jvs.2004.02.024","title":"Interpretation of three-dimensional structure from two-dimensional endovascular images: implications for educators in vascular surgery","year":2004,"lang":"en","type":"article","venue":"Journal of Vascular Surgery","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Osteoporosis Canada; University of Toronto; The Wilson Centre","funders":"","keywords":"Medicine; Depth perception; Session (web analytics); Perception; Test (biology); Artificial intelligence; Computer vision; Radiology; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009813723,0.0002400915,0.0008829218,0.0007548779,0.00004577217,0.00001161173,0.0002030698,0.0002429964,0.00005669676],"category_scores_gemma":[0.0006863039,0.0002183229,0.001169084,0.0004513405,0.0001174902,0.0002532582,0.00003387716,0.0004459362,0.000002272873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700839,"about_ca_system_score_gemma":0.0004136908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008974928,"about_ca_topic_score_gemma":0.00006372793,"domain_scores_codex":[0.9978428,0.00006242737,0.001114585,0.0002203635,0.000430024,0.000329725],"domain_scores_gemma":[0.9978948,0.001012822,0.0003059952,0.0003538963,0.0002753418,0.0001571382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002667633,0.0007942918,0.07535855,0.0006526693,0.006155549,0.000193132,0.0004602626,0.6897532,0.03568011,0.001625243,0.005417847,0.1836424],"study_design_scores_gemma":[0.0114866,0.0002724688,0.6162916,0.005791303,0.002273609,0.0008379336,0.000459104,0.02218709,0.1043089,0.2182327,0.01480462,0.003054077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572457,0.0137046,0.02747064,0.000307683,0.0009916195,0.0001837294,0.0000463976,0.00004495986,0.000004662665],"genre_scores_gemma":[0.9933966,0.0004075662,0.005773753,0.00008026435,0.0002216571,0.00001387375,0.00006147502,0.0000443762,4.821052e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6675661,"threshold_uncertainty_score":0.8902949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009076592946452518,"score_gpt":0.2332758707882375,"score_spread":0.2241992778417849,"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."}}