{"id":"W2903649178","doi":"10.1038/s41592-018-0276-8","title":"Imaging whole nervous systems: insights into behavior from worms to fish","year":2018,"lang":"en","type":"article","venue":"Nature Methods","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Stem Cell Network","funders":"National Institute of General Medical Sciences","keywords":"Context (archaeology); Fish <Actinopterygii>; Neuroscience; Biological neural network; Biology; Animal behavior; Computer science; Neural activity; Cognitive science; Data science; Zoology; Psychology; Fishery; Paleontology","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":[0.0004853425,0.0002201115,0.0003137037,0.000211727,0.0003993505,0.00007658482,0.0007713408,0.0003888004,0.00009224695],"category_scores_gemma":[0.001692023,0.0001673262,0.00007532076,0.0006200921,0.000404856,0.0002061084,0.0003592159,0.001315695,0.0003290459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004773376,"about_ca_system_score_gemma":0.00005344104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202711,"about_ca_topic_score_gemma":0.00002879138,"domain_scores_codex":[0.9965329,0.001721584,0.0002418742,0.0008419491,0.0001962203,0.0004654339],"domain_scores_gemma":[0.9979874,0.0009656567,0.00006934083,0.0006652565,0.0001301726,0.0001821246],"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":[0.00007045801,0.0000519007,0.0005588767,0.00000557775,0.000004209175,0.0000506878,0.0004479287,0.000001305429,0.9781119,0.0003568656,0.004066523,0.0162738],"study_design_scores_gemma":[0.0002463098,0.0002155041,0.02054766,0.00002730462,0.00001597944,0.00003508346,0.00004769167,0.0002395325,0.8913451,0.001974656,0.08505006,0.0002551156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907865,0.0003455014,0.001659738,0.0007076896,0.003610629,0.0004538946,0.00002255631,0.0001666024,0.002246884],"genre_scores_gemma":[0.980451,0.000009698952,0.009078433,0.008597423,0.0008356652,0.0001039647,0.000009027837,0.00003241269,0.0008824027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08676676,"threshold_uncertainty_score":0.6823363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396523532995666,"score_gpt":0.4095018037154304,"score_spread":0.3755365683854737,"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."}}