{"id":"W2416180602","doi":"10.3928/0147-7447-20020501-12","title":"Mini-Incisions: Visualization is Key","year":2002,"lang":"en","type":"letter","venue":"Orthopedics","topic":"Intramuscular injections and effects","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Visualization; Key (lock); Surgery; Medical physics; Artificial intelligence; Computer science","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":[0.001004077,0.0009274195,0.001301167,0.0006304655,0.002969505,0.002758904,0.001618739,0.05887656,0.01690366],"category_scores_gemma":[0.009974374,0.0007763566,0.001191401,0.0005932882,0.00221053,0.004053943,0.001166484,0.03556954,0.005919074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002239499,"about_ca_system_score_gemma":0.001379912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461522,"about_ca_topic_score_gemma":0.01023751,"domain_scores_codex":[0.9988592,0.0002535926,0.0001417397,0.0001617771,0.000237607,0.0003462084],"domain_scores_gemma":[0.997254,0.001247855,0.0003800741,0.0001372424,0.0002581829,0.0007226687],"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":[0.0003037097,0.0001038417,0.001704097,0.0002395911,0.00003423297,0.1607815,0.0003039749,0.0003091436,0.001557226,0.007618488,0.7983808,0.02866339],"study_design_scores_gemma":[0.0002095333,0.000345139,0.003849976,0.0006105146,0.00004718141,0.1879761,0.0009023772,0.00100259,0.0005878279,0.01620542,0.788151,0.0001123254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004572049,0.005626576,0.0009796227,0.9113233,0.02696193,0.00003698013,0.00006355159,0.0001380513,0.05029794],"genre_scores_gemma":[0.06132007,0.008227932,0.001886565,0.7107447,0.1502414,0.00008484825,0.00006502489,0.0001149427,0.06731459],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05887656,"threshold_uncertainty_score":0.05654842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236365728682287,"score_gpt":0.2909647339779728,"score_spread":0.2673281611097442,"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."}}