{"id":"W2520358770","doi":"10.5489/cuaj.3780","title":"The Western snip, stitch, and tug hydrocelectomy: How I do it","year":2016,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Ottawa","funders":"","keywords":"Tug of war","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001808528,0.0006365697,0.0006200203,0.001265236,0.0009261885,0.001980881,0.0009312353,0.002290665,0.003155033],"category_scores_gemma":[0.007151265,0.0002747073,0.0003851859,0.0008356554,0.003526406,0.003786691,0.0006832887,0.00254583,0.001744029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141722,"about_ca_system_score_gemma":0.003518383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01637827,"about_ca_topic_score_gemma":0.03966418,"domain_scores_codex":[0.9992489,0.0001970412,0.00008620424,0.00009526027,0.0002818114,0.00009061149],"domain_scores_gemma":[0.9978524,0.0005164007,0.0003793976,0.0001120267,0.0006095048,0.0005303221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.0002999102,0.0002199082,0.03979377,0.002261415,0.0001497784,0.002977496,0.0009722607,0.0002859653,0.00166294,0.002647785,0.1330904,0.8156384],"study_design_scores_gemma":[0.000418277,0.001792333,0.09457178,0.02355305,0.0006787959,0.07963958,0.02197981,0.001675038,0.00259315,0.02570795,0.7467921,0.0005981475],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05139119,0.4383519,0.01233475,0.4452403,0.02602634,0.0003187764,0.0003182621,0.0007304294,0.02528797],"genre_scores_gemma":[0.2145492,0.540517,0.0390858,0.1353348,0.0475358,0.000357995,0.0004153908,0.0002291675,0.021975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01637827,"threshold_uncertainty_score":0.03256589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009166503228335619,"score_gpt":0.2197448984621673,"score_spread":0.2105783952338317,"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."}}