{"id":"W2276198186","doi":"","title":"3D Knee Joint Modeling from MRI Images","year":2011,"lang":"en","type":"article","venue":"Journal of undergraduate research in Alberta","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Patella; Computer science; Knee Joint; Femur; Segmentation; Rhinoceros; Biomechanics; Anatomy; Joint (building); DICOM; Medicine; Software; Artificial intelligence; Biology; Surgery; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003883207,0.001015926,0.0004543932,0.001529662,0.0001620019,0.001366728,0.0006198629,0.0008248845,0.006325498],"category_scores_gemma":[0.0008131229,0.0005922243,0.001207221,0.0007215298,0.0002726881,0.0003903978,0.0006572295,0.0003310844,0.002780133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505802,"about_ca_system_score_gemma":0.0005307538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402252,"about_ca_topic_score_gemma":0.003357879,"domain_scores_codex":[0.9997503,0.0000364338,0.00002662609,0.00004541812,0.0001221335,0.00001907833],"domain_scores_gemma":[0.999798,0.00005704026,0.00004160188,0.00003692059,0.00005504993,0.00001145077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006223454,0.0001194674,0.009321561,0.001731065,0.0002730337,0.002817238,0.0009171425,0.4281303,0.1203732,0.005053664,0.01362694,0.417014],"study_design_scores_gemma":[0.000071012,0.0002610788,0.01273945,0.0003560433,0.0001941563,0.005160602,0.0002391924,0.8991385,0.03335326,0.004325022,0.04399563,0.0001660982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04618256,0.0009759828,0.9353852,0.0001819624,0.0000871621,0.0003107794,0.003415657,0.00704353,0.006417147],"genre_scores_gemma":[0.5265904,0.002654067,0.453346,0.0001742091,0.00007136462,0.0005445513,0.006875169,0.001025927,0.008718364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006325498,"threshold_uncertainty_score":0.02116096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1243690432469034,"score_gpt":0.3464038663248331,"score_spread":0.2220348230779298,"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."}}