{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001952568,0.0003492452,0.0004970806,0.0003464185,0.0001667701,0.00005352722,0.0001021566,0.001300434,0.002916706],"category_scores_gemma":[0.0002456803,0.0003027893,0.0003354418,0.0004279553,0.00007103825,0.000064126,0.00004773456,0.00141267,0.001270969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001188966,"about_ca_system_score_gemma":0.0001318501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003639689,"about_ca_topic_score_gemma":0.000002977798,"domain_scores_codex":[0.9978675,0.0000840089,0.0003985739,0.0004799078,0.0007512097,0.000418753],"domain_scores_gemma":[0.9986831,0.00008887986,0.000153511,0.0006881725,0.0002738284,0.0001125296],"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":[0.000008910169,0.00005838303,0.0004540719,0.0003178565,0.0001020039,0.0009444186,0.0001995435,7.892653e-7,0.000004487207,0.00002599117,0.989428,0.008455583],"study_design_scores_gemma":[0.0004957611,0.0002920115,0.0002369974,0.0003779574,0.0004345383,0.0003490349,0.00001325425,0.0006777196,0.00003024371,0.00001589914,0.9967773,0.0002993092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.007947461,0.003162168,0.007038426,0.8806427,0.005923229,0.002705249,0.0002076494,0.0007673684,0.09160577],"genre_scores_gemma":[0.0005602417,0.001250726,0.001005442,0.9044994,0.01096974,0.00006597155,0.001354064,0.0001744855,0.08011995],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0238567,"threshold_uncertainty_score":0.9999961,"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."}}