{"id":"W4408861525","doi":"10.1109/tmech.2025.3545921","title":"Automated Sperm Immobilization With Compensation for Sperm Intrinsic and Fluid Flow-Induced Movements","year":2025,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Sperm; Compensation (psychology); Flow (mathematics); Andrology; Chemistry; Mechanics; Physics; Medicine; Psychology; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001120391,0.0002380174,0.0002431241,0.0001797302,0.000311325,0.00007087053,0.0001016211,0.00008479467,0.0001003205],"category_scores_gemma":[0.000001025125,0.000225102,0.00008480074,0.0003071497,0.00002909799,0.0001563732,0.000003190438,0.0001632869,0.00001335236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170448,"about_ca_system_score_gemma":0.0001561458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004962377,"about_ca_topic_score_gemma":0.00003164042,"domain_scores_codex":[0.9989031,0.00003399354,0.0002884876,0.0003513415,0.0001364792,0.0002866291],"domain_scores_gemma":[0.9994033,0.00006338999,0.00008232343,0.0002591061,0.0001270678,0.00006479467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001395667,0.002631593,0.000909803,0.0004637491,0.001870513,0.000002407716,0.001616068,0.2536518,0.2049786,0.07111496,0.001022992,0.4603418],"study_design_scores_gemma":[0.007699932,0.0008246188,0.0004614984,0.0002619587,0.0004881702,0.00000219404,0.0007849497,0.6671512,0.314201,0.003364524,0.003968092,0.0007918883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2306971,0.00002510691,0.7675263,0.000109578,0.0003265276,0.0008033673,0.00008823609,0.0001506546,0.0002731326],"genre_scores_gemma":[0.9917446,0.00001902243,0.00734895,0.0001199715,0.00005181559,0.00009168751,0.0001059106,0.0000327745,0.0004852126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7610475,"threshold_uncertainty_score":0.9179392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009996480886073222,"score_gpt":0.2485089253858995,"score_spread":0.2385124444998263,"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."}}