{"id":"W4367301909","doi":"10.3791/65218","title":"&lt;em&gt;In vivo&lt;/em&gt; whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy","year":2023,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Zebrafish; Fluorescence microscope; Confocal microscopy; Microscopy; Preclinical imaging; In vivo; Fluorescence-lifetime imaging microscopy; Confocal; Biology; Agarose; Fluorescence; Cell biology; Pathology; Molecular biology; Medicine; Physics; Biochemistry; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.001144375,0.0002548071,0.0004433435,0.0003949967,0.0001132259,0.00006329874,0.0006069409,0.0001701988,0.0001387765],"category_scores_gemma":[0.0006125583,0.0002406981,0.000236104,0.0006463825,0.0002422026,0.00003392838,0.0003875912,0.0002474148,0.00002236151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013278,"about_ca_system_score_gemma":0.0003890478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002225534,"about_ca_topic_score_gemma":0.00002015701,"domain_scores_codex":[0.9968808,0.0001827961,0.0009337669,0.0003996856,0.001005043,0.000597884],"domain_scores_gemma":[0.9983335,0.00009034202,0.0004958627,0.0003778131,0.0003631635,0.0003393483],"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":[0.0003075804,0.0003304703,0.000951418,0.00002637805,0.00008565167,0.00005233131,0.0001342583,0.00003498095,0.9750168,0.00002577528,0.02249192,0.0005423992],"study_design_scores_gemma":[0.002832753,0.000246351,0.00160068,0.0002355358,0.00001638773,0.0000523014,0.00016991,0.002600695,0.9806461,0.0001534959,0.01121406,0.0002317253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960333,0.001150199,0.001588113,0.0006118703,0.0002074414,0.000291014,0.00005800643,0.00001361687,0.00004648469],"genre_scores_gemma":[0.9895023,0.0000774252,0.00932153,0.0004241074,0.0002876882,0.00002648793,0.00006710095,0.00006611436,0.000227283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01127785,"threshold_uncertainty_score":0.9815384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463040633334611,"score_gpt":0.4001416254206828,"score_spread":0.3755112190873366,"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."}}