{"id":"W2113980226","doi":"10.3109/10929080701517459","title":"A comparison of registration techniques for computer- and image-assisted elbow surgery","year":2007,"lang":"en","type":"article","venue":"Computer Aided Surgery","topic":"Elbow and Forearm Trauma Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; St Joseph's Health Care; Robarts Clinical Trials","funders":"","keywords":"Elbow; Computer science; Computer vision; Orientation (vector space); Image registration; Artificial intelligence; Elbow flexion; Position (finance); Medicine; Mathematics; Surgery; Image (mathematics); Geometry","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":[0.005522606,0.0005104097,0.0006864494,0.001490535,0.000239967,0.001000608,0.0009474606,0.0006633034,0.002240432],"category_scores_gemma":[0.02052237,0.0004982076,0.0007106541,0.00140925,0.0005867878,0.001255713,0.0007500884,0.0006333269,0.0009882819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003602646,"about_ca_system_score_gemma":0.0008530396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006563841,"about_ca_topic_score_gemma":0.001209906,"domain_scores_codex":[0.9947724,0.002088246,0.0003598199,0.0003420882,0.002313983,0.0001235259],"domain_scores_gemma":[0.9893801,0.006486288,0.0008503287,0.00140684,0.001761208,0.0001152671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003642358,0.0002442322,0.006592084,0.0009878178,0.000327827,0.0001441216,0.0005537668,0.01437275,0.08192793,0.004910926,0.001479058,0.8848171],"study_design_scores_gemma":[0.001531737,0.01425463,0.11605,0.0005932262,0.001461119,0.01303874,0.001294553,0.4750721,0.3184624,0.01173331,0.04547958,0.001028687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242383,0.005289723,0.7422362,0.0003912516,0.0003911647,0.0005773364,0.0002122446,0.003139715,0.005379297],"genre_scores_gemma":[0.4074828,0.002712157,0.5867838,0.00009407193,0.00007749393,0.0003405086,0.0002673606,0.0005273066,0.00171454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005522606,"threshold_uncertainty_score":0.02920669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06939467151742876,"score_gpt":0.3465942510892866,"score_spread":0.2771995795718578,"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."}}