{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003590278,0.0003975541,0.0002721635,0.0009633137,0.0001901727,0.0005372418,0.000497176,0.0005869186,0.00160392],"category_scores_gemma":[0.0005880772,0.0002080306,0.0003261322,0.0004313234,0.0001779434,0.0002983007,0.0004349689,0.0004559224,0.0006587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077381,"about_ca_system_score_gemma":0.0005700453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002521442,"about_ca_topic_score_gemma":0.006466222,"domain_scores_codex":[0.9998631,0.00001105557,0.000007464196,0.00004238716,0.00004545575,0.00003042154],"domain_scores_gemma":[0.9997553,0.00006414024,0.00003705103,0.00002782645,0.0000973335,0.00001831036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004527565,0.0001521342,0.01499309,0.0005166486,0.0001151383,0.0006249135,0.0001570557,0.02393139,0.4942769,0.001052836,0.005241282,0.4584858],"study_design_scores_gemma":[0.00003415817,0.0001867159,0.04546256,0.0001168342,0.00009381944,0.001501354,0.0002061792,0.6779671,0.2618689,0.00237325,0.01012884,0.00006040461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5029549,0.002987882,0.4793087,0.0004779435,0.0001485917,0.0001641852,0.002620427,0.006862682,0.00447468],"genre_scores_gemma":[0.716521,0.001161528,0.2721363,0.0002495952,0.00005029478,0.0001045373,0.003352151,0.0003649793,0.006059747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002521442,"threshold_uncertainty_score":0.00536567,"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."}}