{"id":"W4289538814","doi":"10.1109/tase.2022.3194845","title":"Automated Orientation Control of Motile Deformable Cells","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Sperm and Testicular Function","field":"Medicine","cited_by":18,"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; Sperm motility; Artificial intelligence; Kinematics; Orientation (vector space); Rotation (mathematics); Computer science; Motion control; Control theory (sociology); Computer vision; Biology; Physics; Robot; Mathematics","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":[0.0000857558,0.0002499183,0.0001511517,0.000154824,0.0001512773,0.0002948264,0.0003785942,0.0001768935,0.001227098],"category_scores_gemma":[0.000173851,0.00009719489,0.0001367039,0.0001123391,0.000198163,0.000147272,0.0002895598,0.0001644283,0.0002911107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002804301,"about_ca_system_score_gemma":0.0002933519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002958544,"about_ca_topic_score_gemma":0.003215283,"domain_scores_codex":[0.9999166,0.000005805764,0.000004379492,0.00002478807,0.00003625593,0.00001219188],"domain_scores_gemma":[0.999915,0.00001407858,0.00002791904,0.00001246878,0.00002316977,0.00000747053],"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":[0.0001049717,0.00005154387,0.001404381,0.00009072106,0.00001462959,0.000112574,0.0001091108,0.09091465,0.693372,0.002157507,0.001141615,0.2105263],"study_design_scores_gemma":[0.00003100132,0.0002827642,0.004836727,0.00001367102,0.00001752776,0.0001024539,0.0000481426,0.7313061,0.2486927,0.0009892578,0.01364583,0.00003371058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2014983,0.0005564668,0.7880383,0.00010926,0.0001170798,0.00009980099,0.0001163329,0.002751189,0.006713292],"genre_scores_gemma":[0.9215212,0.0002742062,0.07301591,0.00005612682,0.00001612016,0.00006760316,0.000116979,0.00004387742,0.004887788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002958544,"threshold_uncertainty_score":0.005882621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007924970483273059,"score_gpt":0.2252145776928548,"score_spread":0.2172896072095817,"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."}}