{"id":"W4229448954","doi":"10.1016/j.fertnstert.2022.03.011","title":"Automated rare sperm identification from low-magnification microscopy images of dissociated microsurgical testicular sperm extraction samples using deep learning","year":2022,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; Vancouver General Hospital; Ottawa Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Mitacs; Canada Foundation for Innovation; Michael Smith Health Research BC; Canadian Urological Association Scholarship Fund; Vancouver Coastal Health Research Institute; Boston Scientific Corporation","keywords":"Sperm; Testicular sperm extraction; Azoospermia; Semen; Biology; Human fertilization; Andrology; Intracytoplasmic sperm injection; In vitro fertilisation; Infertility; Anatomy; Medicine; Embryo; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000557398,0.0001795482,0.0003642259,0.0000772839,0.0004322403,0.00005292398,0.00006675463,0.0001070593,0.0005748278],"category_scores_gemma":[0.0006314396,0.0001839231,0.000113755,0.0002682291,0.0001655442,0.0001767271,0.00007935183,0.0002975549,0.000004333756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250721,"about_ca_system_score_gemma":0.0000577163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008973275,"about_ca_topic_score_gemma":0.00001697573,"domain_scores_codex":[0.9980237,0.0003563929,0.000576001,0.0005181172,0.0003252442,0.0002005134],"domain_scores_gemma":[0.9988893,0.0001804522,0.0002830123,0.0003395725,0.0002081413,0.00009955504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003335692,0.0004420165,0.2215272,0.0001743738,0.00004431975,0.00000995192,0.0004564358,0.0001207254,0.7724499,7.917296e-7,0.00000763913,0.001430983],"study_design_scores_gemma":[0.0007533453,0.0001088198,0.9027704,0.00004334757,0.0002054209,0.00002710864,0.0006098961,0.0369409,0.05825757,0.00006997964,0.00007831075,0.0001348784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954126,0.0005597963,0.00284496,0.00007268826,0.0002233803,0.0004369777,0.0001888583,0.0002356435,0.00002513443],"genre_scores_gemma":[0.9977304,0.00002065174,0.0008423,0.00002215839,0.00003523392,0.00002019418,0.001267907,0.0000170787,0.00004410878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7141923,"threshold_uncertainty_score":0.7500166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350563934880897,"score_gpt":0.2959898002459645,"score_spread":0.2724841608971555,"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."}}