{"id":"W4411098745","doi":"10.5489/cuaj.9270","title":"Poster Session 11: Andrology","year":2025,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Andrology; Computer science; Medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001683279,0.001283111,0.001036752,0.001619136,0.001682146,0.00326798,0.001453536,0.00297664,0.7004728],"category_scores_gemma":[0.003221601,0.0005071253,0.001209491,0.0007447791,0.0005380238,0.001650164,0.003022731,0.003695194,0.4342826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009537498,"about_ca_system_score_gemma":0.001559012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000677011,"about_ca_topic_score_gemma":0.001810946,"domain_scores_codex":[0.9988955,0.0002673738,0.00008952485,0.0002559565,0.0003006624,0.0001908462],"domain_scores_gemma":[0.9968651,0.0004485847,0.0001568764,0.0001701079,0.000877552,0.001481719],"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":[0.0002220698,0.0001088283,0.0005903862,0.0005641633,0.00001563462,0.0002979463,0.0000821685,0.00005838991,0.0004291077,0.0006698002,0.9097065,0.08725495],"study_design_scores_gemma":[0.00003373533,0.00009602908,0.001344994,0.0004609858,0.000009949129,0.0006262438,0.0001007549,0.00003832899,0.0001739071,0.000458281,0.9966477,0.000009105991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003898089,0.02471031,0.001860435,0.04642743,0.1752178,0.0009346852,0.005261336,0.001780543,0.7399095],"genre_scores_gemma":[0.011868,0.01500237,0.001065817,0.009734443,0.06376745,0.0002687276,0.002078727,0.0005294804,0.895685],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7004728,"threshold_uncertainty_score":0.4272392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955473462870709,"score_gpt":0.1950283282453586,"score_spread":0.1754735936166515,"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."}}