{"id":"W3212560987","doi":"10.1101/2021.11.14.468543","title":"Deep Learning-based Automated Rare Sperm Identification from Testes Biopsies","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; Ottawa Hospital; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Sperm; Testicular sperm extraction; Sperm Retrieval; Biology; Male infertility; Human fertilization; Andrology; Azoospermia; Intracytoplasmic sperm injection; In vitro fertilisation; Infertility; Anatomy; Medicine; Embryo; Cell biology","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":[0.0005072772,0.0005086663,0.0003251827,0.0007983529,0.0001489617,0.000363312,0.0008403215,0.0005703212,0.001048534],"category_scores_gemma":[0.0007538829,0.0002945805,0.0003563632,0.0003084151,0.000173057,0.0003154303,0.0004700437,0.0003994564,0.000490594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005233026,"about_ca_system_score_gemma":0.0005344055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004183781,"about_ca_topic_score_gemma":0.007945102,"domain_scores_codex":[0.9997829,0.00003365687,0.00001011911,0.00006675847,0.00006836188,0.00003817309],"domain_scores_gemma":[0.999738,0.00007124297,0.00004613441,0.00003016508,0.00008854889,0.00002593151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004706292,0.0003030674,0.01983088,0.0002803717,0.0001803691,0.0005333762,0.00007851906,0.1297921,0.1859788,0.001477954,0.008335188,0.6527389],"study_design_scores_gemma":[0.000015008,0.00005890579,0.004772744,0.00001643971,0.0000182399,0.0001811616,0.00001311198,0.9618406,0.03130153,0.0005595177,0.001210576,0.00001215838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3690391,0.001797889,0.6129153,0.0006971573,0.0001583424,0.0002367107,0.001270233,0.008889842,0.004995422],"genre_scores_gemma":[0.737403,0.0005295476,0.2534664,0.0004676409,0.00005289971,0.0001520302,0.002082501,0.0001414498,0.005704412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004183781,"threshold_uncertainty_score":0.008318841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126505497087826,"score_gpt":0.2264879082292459,"score_spread":0.2138373585204633,"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."}}