{"id":"W2783584852","doi":"10.3389/fnins.2017.00750","title":"A Whole Brain Staining, Embedding, and Clearing Pipeline for Adult Zebrafish to Visualize Cell Proliferation and Morphology in 3-Dimensions","year":2018,"lang":"en","type":"article","venue":"Frontiers in Neuroscience","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; State Government of Victoria; Monash University","keywords":"Zebrafish; Neuroscience; Danio; Biology; Cell; Confocal microscopy; Computational biology; Cell biology; Pathology; Medicine; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004625284,0.000092797,0.0001097507,0.0001742425,0.0001124795,0.00004396413,0.0001723105,0.00008348579,0.000001051367],"category_scores_gemma":[0.00210481,0.00009571239,0.00001237175,0.0003252954,0.0003740113,0.00001230906,0.0002173318,0.00009234614,8.40568e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001647968,"about_ca_system_score_gemma":0.00006785729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000187912,"about_ca_topic_score_gemma":0.0000914945,"domain_scores_codex":[0.9987361,0.00006617764,0.0001774642,0.000551867,0.000124994,0.0003434174],"domain_scores_gemma":[0.9994869,0.00002725167,0.00003681871,0.0001797837,0.00009698958,0.0001722303],"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":[0.0000706323,0.00006652363,0.008795016,0.0000141375,5.760235e-7,0.00000237884,0.0001991314,0.00001751615,0.9417909,0.00006128188,0.04551418,0.003467749],"study_design_scores_gemma":[0.005144723,0.004295897,0.05905158,0.0001030131,0.00001045081,0.00004146402,0.001157438,0.331923,0.325649,0.001902628,0.2698385,0.0008823984],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8552821,0.00005055135,0.1405499,0.003310637,0.000122536,0.0005878133,0.00001923107,0.000008665183,0.0000685315],"genre_scores_gemma":[0.9804773,0.00003588316,0.01436917,0.004391044,0.00006987379,0.0001538587,0.00001356057,0.00001397619,0.0004753216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6161419,"threshold_uncertainty_score":0.3903038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180178167971552,"score_gpt":0.3190591799515166,"score_spread":0.3072573982718011,"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."}}