{"id":"W2790851295","doi":"10.1049/iet-smt.2017.0373","title":"Towards a classification of surgical skills using affine velocity","year":2018,"lang":"en","type":"article","venue":"IET Science Measurement & Technology","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Affine transformation; Computer science; Artificial intelligence; Medicine; Medical physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00312204,0.0001443214,0.0002550598,0.0007416015,0.0002655716,0.00007285714,0.001680529,0.0001530233,0.00001533721],"category_scores_gemma":[0.0003235684,0.000123193,0.00005046278,0.003858675,0.001441417,0.0004315354,0.0003233078,0.0001421186,0.00005234611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030897,"about_ca_system_score_gemma":0.0006354593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002182472,"about_ca_topic_score_gemma":0.00002290831,"domain_scores_codex":[0.9970434,0.00006608957,0.0004248674,0.0006195696,0.001402375,0.0004437014],"domain_scores_gemma":[0.9971012,0.00001677595,0.0002607634,0.0008022366,0.00172693,0.00009211949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008586035,0.0003472614,0.003138402,0.00002380449,0.00002061894,0.00000950129,0.0006334616,0.000005659798,0.7456807,0.03929888,0.0001759643,0.2106572],"study_design_scores_gemma":[0.001228997,0.0006789179,0.01862654,0.0002516284,0.00002208806,0.0003274801,0.0002336965,0.02896433,0.9181118,0.01220746,0.0187632,0.0005838724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4758081,0.0001131479,0.5097911,0.004427299,0.001249376,0.0004920334,0.000002797207,0.0005248946,0.00759121],"genre_scores_gemma":[0.9759331,0.000006360457,0.02391254,0.00002969,0.00008454976,0.00001531188,2.239538e-7,0.000004886123,0.0000132869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5001251,"threshold_uncertainty_score":0.531096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06565883547245406,"score_gpt":0.3083097243239566,"score_spread":0.2426508888515025,"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."}}