{"id":"W3132264483","doi":"10.1101/2021.02.25.432836","title":"A simple and robust method for automating analysis of naïve and regenerating peripheral nerves","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Dalhousie University","funders":"","keywords":"Axon; Peripheral; Peripheral nerve; Myelin; Automated method; Biomedical engineering; Anatomy; Computer science; Chemistry; Materials science; Neuroscience; Artificial intelligence; Biology; Medicine; Central nervous system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008089465,0.0003741126,0.0007880075,0.0002511257,0.0001265183,0.0002101947,0.000210226,0.0004205892,0.000008196655],"category_scores_gemma":[0.0004727501,0.0004148832,0.0003142372,0.0004394357,0.00009317521,0.00001178647,0.000649265,0.0001934359,3.492352e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003280724,"about_ca_system_score_gemma":0.0001727799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445053,"about_ca_topic_score_gemma":0.00005896996,"domain_scores_codex":[0.9978159,0.0001829735,0.0005468722,0.001014337,0.0001510711,0.0002888223],"domain_scores_gemma":[0.9979175,0.00005695172,0.0004980926,0.0008665118,0.0005432996,0.0001176242],"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":[0.00001108474,0.00003558152,0.007706065,0.0003087406,0.00165288,0.000003388921,0.00001509826,0.00158479,0.9885439,0.00003483722,0.0000753488,0.00002823946],"study_design_scores_gemma":[0.0002129774,0.00006263191,0.01454488,0.00008317515,0.001736575,2.646148e-8,0.00002196866,0.07221813,0.9104909,5.871598e-7,0.0001772305,0.0004509666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.855381,0.004350146,0.1397699,0.00002255373,0.00002359964,0.0003064992,0.00008791836,0.00005555123,0.000002771848],"genre_scores_gemma":[0.7252974,0.0003070187,0.2740361,0.00006919372,0.000113536,0.0001113111,0.000008383859,0.0000535466,0.000003520564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1342662,"threshold_uncertainty_score":0.9998303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183396586112261,"score_gpt":0.2642365413021465,"score_spread":0.2524025754410239,"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."}}