{"id":"W4313489142","doi":"10.1016/j.xpro.2022.101973","title":"SiliFish: A desktop application to model swimming behavior in developing zebrafish (Danio rerio)","year":2023,"lang":"en","type":"article","venue":"STAR Protocols","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Danio; Zebrafish; Computer science; Protocol (science); Spinal cord; Simulation; Programming language; Computer architecture; Neuroscience; Biology","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":[0.0004032295,0.0009528548,0.0005012414,0.0005762327,0.0003756092,0.0003401983,0.002057985,0.0007111067,0.03712779],"category_scores_gemma":[0.0005434461,0.0006075887,0.0007033692,0.0002811066,0.0002790002,0.0006593142,0.001147033,0.0009505466,0.009283039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006599413,"about_ca_system_score_gemma":0.0009778654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007370771,"about_ca_topic_score_gemma":0.01284066,"domain_scores_codex":[0.9998558,0.00001016529,0.000009595835,0.00002830191,0.00007091201,0.00002515496],"domain_scores_gemma":[0.9998186,0.00005451337,0.00001640949,0.0000338702,0.00004268756,0.00003388151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001160422,0.0003624127,0.005976831,0.001665422,0.0002303156,0.0007078029,0.000489012,0.06501356,0.4087059,0.01226039,0.3302658,0.1731622],"study_design_scores_gemma":[0.0006236802,0.0005319393,0.01126447,0.0002616155,0.0001552145,0.0006808678,0.00009114195,0.4358405,0.2065965,0.009423776,0.3342466,0.0002836548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03944593,0.0003691495,0.5197973,0.0002982552,0.0001771739,0.0007843222,0.03188187,0.3853488,0.0218973],"genre_scores_gemma":[0.2377448,0.001270361,0.5412061,0.0004999033,0.00006551866,0.00517748,0.09047369,0.06717662,0.05638544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03712779,"threshold_uncertainty_score":0.1242048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.039993289496118,"score_gpt":0.378705137470179,"score_spread":0.338711847974061,"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."}}