{"id":"W3134942451","doi":"10.1038/s41598-021-85896-x","title":"BonZeb: open-source, modular software tools for high-resolution zebrafish tracking and analysis","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Ontario Tobacco Research Unit; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Zebrafish; Modular design; Computer science; Open source; Software; Open source software; Tracking (education); Resolution (logic); Computational biology; Software engineering; Bioinformatics; Operating system; Biology; Programming language; Genetics; Gene","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":[0.002207516,0.002042377,0.001151898,0.001834593,0.0008364848,0.001504941,0.003337661,0.001681415,0.02942365],"category_scores_gemma":[0.003570224,0.00176895,0.001935769,0.0007631959,0.001033755,0.002089792,0.003890932,0.003076807,0.01942312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008096038,"about_ca_system_score_gemma":0.001780341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002853191,"about_ca_topic_score_gemma":0.004179355,"domain_scores_codex":[0.9991541,0.00007935498,0.00006187319,0.0001662046,0.0004063515,0.0001321653],"domain_scores_gemma":[0.9988592,0.0003707462,0.0001746571,0.0002246942,0.0002178376,0.0001529537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001826727,0.0002593622,0.007434273,0.003050983,0.0006906238,0.00098589,0.00105732,0.01897868,0.2254614,0.02691141,0.3757575,0.3375858],"study_design_scores_gemma":[0.0004961679,0.0002923691,0.007678176,0.0007718423,0.0001870408,0.00175864,0.0001321641,0.1469669,0.2028525,0.0270088,0.6110941,0.0007613812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.004035743,0.0004691611,0.5839064,0.0002366846,0.0002574154,0.0002212042,0.005820724,0.4001013,0.004951361],"genre_scores_gemma":[0.05053249,0.00146162,0.7768165,0.001017928,0.0001079225,0.002653864,0.02887319,0.1245074,0.01402904],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02942365,"threshold_uncertainty_score":0.09843194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330358232153116,"score_gpt":0.3009185068941496,"score_spread":0.2776149245726184,"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."}}