{"id":"W4406345613","doi":"10.1109/tase.2025.3529283","title":"Automated Sperm Tracking and Immobilization With a Clinically-Compatible XYZ Stage","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Sperm; Computer science; Tracking (education); Engineering; Control engineering; Biomedical engineering; Medicine; Andrology","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":[0.0003490114,0.00043582,0.0003483102,0.000339962,0.0002489941,0.0003848222,0.0008455971,0.0005857864,0.002084196],"category_scores_gemma":[0.0004703368,0.0004227289,0.000287741,0.0002758182,0.0002533297,0.0004073092,0.0007031682,0.0003209665,0.001152305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747188,"about_ca_system_score_gemma":0.0008661622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001036032,"about_ca_topic_score_gemma":0.001450762,"domain_scores_codex":[0.9995388,0.00003610531,0.00003777779,0.0001281149,0.0002270629,0.00003211374],"domain_scores_gemma":[0.9997904,0.00003579206,0.00005540027,0.00005210055,0.00005341263,0.00001288929],"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":[0.00008790679,0.00003187711,0.0007328578,0.0001282855,0.000008845589,0.00008797422,0.00009407289,0.001405595,0.9352974,0.001280898,0.0008278095,0.06001667],"study_design_scores_gemma":[0.00006979121,0.000961592,0.008595517,0.00002740167,0.0000503045,0.001155043,0.00003278162,0.06244206,0.89704,0.0003324517,0.0291838,0.0001092826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1517159,0.001064462,0.8370726,0.0002880018,0.0002089959,0.000543635,0.0003930442,0.003795388,0.004918],"genre_scores_gemma":[0.3322006,0.0009539285,0.6548548,0.0002227886,0.00006929465,0.000490063,0.0004414253,0.0001455144,0.01062151],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002084196,"threshold_uncertainty_score":0.006972313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999016886517941,"score_gpt":0.3061266591517942,"score_spread":0.2861364902866148,"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."}}