{"id":"W4389452890","doi":"10.1093/bioinformatics/btad720","title":"NMJ Analyser: a novel method to quantify neuromuscular junction morphology in zebrafish","year":2023,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Neuromuscular junction; Zebrafish; Postsynaptic potential; Biology; Neuroscience; Neuromuscular transmission; Cell biology; Genetics; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008545707,0.0001493668,0.0001847019,0.0003969911,0.00006507253,0.00003830123,0.0003618565,0.0002006547,0.00002748392],"category_scores_gemma":[0.000709616,0.0001435981,0.00009433704,0.001445478,0.00006359519,0.00001033698,0.0003148233,0.000163719,0.0005145362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002947582,"about_ca_system_score_gemma":0.0001096382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007107606,"about_ca_topic_score_gemma":0.00006209714,"domain_scores_codex":[0.9984556,0.00005611155,0.0004317141,0.0002740594,0.0003170925,0.0004653831],"domain_scores_gemma":[0.9990053,0.00005059065,0.00007319514,0.0005330645,0.00009544992,0.0002424514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005796962,0.0001243976,0.0007300756,0.00006709698,0.00005745735,0.000008458153,0.0001637428,0.0006734443,0.9416739,0.0004242185,0.03974905,0.01627017],"study_design_scores_gemma":[0.002908259,0.001059057,0.1133804,0.00005481336,0.00005659544,0.0001097973,0.0009230101,0.114306,0.121995,0.0004742992,0.6437172,0.00101556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4868722,0.00002768465,0.5072345,0.003343297,0.0001768984,0.0007954342,0.00007918739,0.0001101561,0.001360662],"genre_scores_gemma":[0.6368983,0.0002544404,0.3475189,0.008749283,0.0005541301,0.0008291238,0.002913407,0.0001356331,0.002146774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8196789,"threshold_uncertainty_score":0.6613493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03480099033414182,"score_gpt":0.3513222281535572,"score_spread":0.3165212378194154,"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."}}