{"id":"W2081473555","doi":"10.2164/jandrol.108.006379","title":"Postmortem Sperm Retrieval: The Canadian Perspective","year":2009,"lang":"en","type":"article","venue":"Journal of Andrology","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Mount Sinai Hospital","funders":"","keywords":"Sperm Retrieval; Accidental; Sperm; Perspective (graphical); Medicine; Biology; Male infertility; Andrology; Computer science; Artificial intelligence; Infertility; Pregnancy; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002254944,0.0006211944,0.0004088814,0.003024762,0.008684927,0.004301852,0.00208554,0.005681603,0.01179805],"category_scores_gemma":[0.006750586,0.0004090068,0.0004644049,0.002979818,0.0077915,0.002295347,0.002193647,0.005862714,0.000890019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04911314,"about_ca_system_score_gemma":0.09951076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9255471,"about_ca_topic_score_gemma":0.9732039,"domain_scores_codex":[0.9980374,0.0002420128,0.0001100831,0.000231566,0.0008100513,0.0005688719],"domain_scores_gemma":[0.9958312,0.0004237437,0.0002115271,0.00007855151,0.002014572,0.001440475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003404473,0.0002471007,0.03526643,0.001402881,0.0001081617,0.07022163,0.0108255,0.001664484,0.002794723,0.201136,0.3802174,0.2957752],"study_design_scores_gemma":[0.00007265785,0.000137251,0.02237451,0.002511048,0.0001272668,0.05260836,0.01845998,0.000683582,0.0005311518,0.01998168,0.882268,0.0002445694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03235419,0.1912168,0.002214626,0.5330109,0.007882717,0.0000897589,0.0004680872,0.0000741121,0.2326888],"genre_scores_gemma":[0.4329917,0.4165761,0.005148144,0.09545557,0.008516159,0.0000414508,0.0003123637,0.00009655964,0.0408619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07445294,"threshold_uncertainty_score":0.3563424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159370953643202,"score_gpt":0.3271558842476007,"score_spread":0.3055621747111687,"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."}}