{"id":"W2789240722","doi":"10.1111/anae.14266","title":"Optimising day‐case analgesia for anterior cruciate ligament reconstruction – a reply","year":2018,"lang":"en","type":"letter","venue":"Anaesthesia","topic":"Anesthesia and Pain Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Medicine; Femoral nerve block; Anterior cruciate ligament; Tourniquet; Anterior cruciate ligament reconstruction; Femoral nerve; Nerve block; Weakness; Analgesic; Adductor canal; Anesthesia; Surgery; Randomized controlled trial; Physical medicine and rehabilitation","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"],"consensus_categories":[],"category_scores_codex":[0.00122203,0.0005936844,0.00117259,0.0006149761,0.0002825451,0.000152095,0.0002297463,0.0006536904,0.0001480684],"category_scores_gemma":[0.00009788905,0.0005457593,0.0006628564,0.0002666113,0.0001972967,0.0001251502,0.00003761708,0.0006607727,0.0001100133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002495402,"about_ca_system_score_gemma":0.000156077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000115888,"about_ca_topic_score_gemma":0.000006847006,"domain_scores_codex":[0.9967405,0.0001873907,0.0009256042,0.0009785031,0.0004462277,0.000721826],"domain_scores_gemma":[0.9977702,0.00009483987,0.0006588489,0.001057923,0.0002544456,0.000163671],"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":[0.0001846117,0.0000506306,0.0009554058,0.000875396,0.0003873465,0.0252873,0.0002512375,0.000001457985,0.00002271859,0.0000057494,0.7895896,0.1823885],"study_design_scores_gemma":[0.001076617,0.001455676,0.0006134237,0.005815592,0.001204449,0.01268088,0.0001590544,0.0006669674,0.00008925428,0.0001932762,0.9753795,0.0006652966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05113905,0.004091275,0.004226983,0.9340888,0.0004998655,0.003885829,0.000007928045,0.0004069414,0.001653318],"genre_scores_gemma":[0.00369979,0.002056614,0.01931118,0.9604152,0.00633072,0.0003056217,0.00006601006,0.0002220948,0.007592804],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1857899,"threshold_uncertainty_score":0.9996994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522885601434238,"score_gpt":0.2731752419632771,"score_spread":0.2479463859489348,"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."}}