{"id":"W4412347335","doi":"10.1126/sciadv.adv7576","title":"Structural and genetic determinants of zebrafish functional brain networks","year":2025,"lang":"en","type":"article","venue":"Science Advances","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Grain Research Centre","funders":"","keywords":"Neuroscience; Zebrafish; Connectome; Neuroimaging; Biology; Calcium imaging; Vertebrate; Modularity (biology); Functional connectivity; Computer science; Evolutionary biology; Gene","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":[0.0001105987,0.00007839762,0.00009914362,0.0001207212,0.000290998,0.00005308815,0.0002015359,0.00001990102,0.00001130785],"category_scores_gemma":[0.0003897426,0.00006279559,0.00002022662,0.0007369008,0.0009092602,0.0005113482,0.00009785773,0.0000637367,8.331325e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001436125,"about_ca_system_score_gemma":0.00005674566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004119933,"about_ca_topic_score_gemma":0.00002237752,"domain_scores_codex":[0.9990187,0.00002308917,0.0001556039,0.0003682098,0.0002254369,0.0002089239],"domain_scores_gemma":[0.9995291,0.000184289,0.00007607305,0.0001273026,0.00004041944,0.0000427972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003526086,0.00001117767,0.03805866,0.00002530389,7.452923e-7,0.000005350881,0.00002198623,0.005155329,0.747601,0.002944192,0.00006827863,0.2060727],"study_design_scores_gemma":[0.0003687126,0.0001514667,0.5721502,0.00005344541,0.000006461501,0.00005036125,0.00004494838,0.1596844,0.2542887,0.01216575,0.0008331142,0.0002024072],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970766,0.0001768849,0.0009820856,0.000237525,0.001001532,0.00009135477,0.000003093312,0.00001886348,0.0004120396],"genre_scores_gemma":[0.9986774,0.00002258526,0.00019937,0.0006914746,0.00002663186,0.000003597795,2.082901e-7,0.000002491695,0.0003761832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5340915,"threshold_uncertainty_score":0.3350207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141586070492343,"score_gpt":0.27344659128757,"score_spread":0.2592879842383358,"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."}}