{"id":"W4402100993","doi":"10.1007/978-3-031-70381-2_2","title":"Machine Learning Based Tool for Automated Sperm Cell Tracking and Sperm Bundle Detection","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Sperm; Sperm cell; Bundle; Artificial intelligence; Tracking (education); Computer vision; Biology","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":[0.000382554,0.0006817449,0.0007140294,0.001344305,0.0003720786,0.0008311578,0.001910028,0.001386094,0.01516744],"category_scores_gemma":[0.0008492804,0.0005520417,0.0007161092,0.0009940114,0.0002471624,0.0008292157,0.0008156034,0.000750648,0.007072506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052433,"about_ca_system_score_gemma":0.0005765444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009922307,"about_ca_topic_score_gemma":0.00140901,"domain_scores_codex":[0.9996485,0.00002371852,0.0000192048,0.00009748185,0.0001810538,0.00003012621],"domain_scores_gemma":[0.9994956,0.0001787031,0.00004350714,0.00006980358,0.0001868771,0.00002559066],"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":[0.0001953224,0.0001273211,0.0009362153,0.0002168696,0.0000557261,0.0002268407,0.00004502885,0.01436863,0.09963692,0.003657125,0.01765821,0.8628758],"study_design_scores_gemma":[0.00004149693,0.0002392777,0.003071864,0.00007972088,0.00007173712,0.001185902,0.0000415208,0.783871,0.1551126,0.006694922,0.04950256,0.00008743811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004604821,0.0002760073,0.9771776,0.00008103928,0.00009975686,0.00008028893,0.0004047276,0.01448977,0.002786087],"genre_scores_gemma":[0.06891692,0.000290843,0.9132862,0.0002466931,0.00005926509,0.0002769741,0.001378662,0.0006614806,0.01488297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01516744,"threshold_uncertainty_score":0.05074018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009920342538911935,"score_gpt":0.2302951801396989,"score_spread":0.220374837600787,"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."}}