{"id":"W4403592357","doi":"10.1016/j.fertnstert.2024.08.303","title":"SEEING THE INVISIBLE: SUBCELLULAR MORPHOLOGY MEASUREMENT OF LIVE SPERM THROUGH AI-BASED VIRTUAL STAINING","year":2024,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CReATe Fertility Centre; University of Toronto","funders":"","keywords":"Staining; Sperm; Morphology (biology); Virtual microscopy; Biology; Cell biology; Pathology; Medicine; Zoology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004713606,0.0003871313,0.0002759213,0.0006525438,0.0004646526,0.001142638,0.0008577213,0.0007031742,0.002269054],"category_scores_gemma":[0.0005410872,0.0003499028,0.0003233835,0.0005415445,0.0005961103,0.0008452886,0.001086601,0.0008375623,0.0005795888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004494635,"about_ca_system_score_gemma":0.0002951653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008266065,"about_ca_topic_score_gemma":0.001434141,"domain_scores_codex":[0.9996703,0.0000382772,0.00001440002,0.0000736325,0.0001501012,0.00005321566],"domain_scores_gemma":[0.999479,0.000154222,0.0001093473,0.00007564778,0.0001183728,0.00006335751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000513903,0.00001614454,0.0005315204,0.00007260877,0.000009979989,0.00004519617,0.0000718771,0.0003231416,0.9915136,0.0005719925,0.0001004083,0.006692256],"study_design_scores_gemma":[0.00002441459,0.0001795402,0.01240054,0.00002745608,0.00006599801,0.0008689584,0.0002742037,0.02893826,0.9517902,0.000981628,0.004360137,0.00008867767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7184556,0.001357988,0.2695194,0.0002844371,0.0001184015,0.00007932376,0.0004516157,0.001573785,0.008159569],"genre_scores_gemma":[0.861141,0.000992648,0.1318366,0.0002185519,0.00003489232,0.0001119986,0.0003721401,0.0002815849,0.005010508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002269054,"threshold_uncertainty_score":0.007590771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02409768738272955,"score_gpt":0.2788792445638525,"score_spread":0.2547815571811229,"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."}}