{"id":"W4414260689","doi":"10.1101/2025.09.09.675160","title":"netneurotools: a trainee-oriented approach to network neuroscience","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Workaround; Neuroinformatics; Software; Field (mathematics); Python (programming language); Pipeline (software); Heuristics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006744354,0.001428216,0.0007296761,0.002490634,0.001819903,0.006464782,0.006160998,0.001966973,0.02633276],"category_scores_gemma":[0.01447351,0.001197205,0.001548148,0.001280117,0.002771675,0.007186657,0.009134348,0.007314568,0.01516635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001496042,"about_ca_system_score_gemma":0.005113016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290075,"about_ca_topic_score_gemma":0.007654196,"domain_scores_codex":[0.9970385,0.001103788,0.0001799418,0.0005686512,0.0008682856,0.0002409208],"domain_scores_gemma":[0.9930589,0.002449307,0.0002739046,0.001845835,0.001133324,0.001238718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002306277,0.0003282425,0.001370469,0.00081904,0.0002041407,0.0004434934,0.003390853,0.02068306,0.009384266,0.3445916,0.2644674,0.3540868],"study_design_scores_gemma":[0.00006787785,0.00006613754,0.0003799611,0.0002604277,0.00003350156,0.0002936462,0.0003969812,0.08052208,0.005534994,0.3701556,0.5421976,0.0000911508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.000603215,0.00006991097,0.9704873,0.001157279,0.000261631,0.0001740783,0.0003668845,0.01980506,0.007074707],"genre_scores_gemma":[0.01423636,0.0004865317,0.9491984,0.001301637,0.0002909681,0.001179495,0.002005257,0.009760939,0.0215404],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02633276,"threshold_uncertainty_score":0.08809185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113911648639796,"score_gpt":0.2338084384324431,"score_spread":0.2126693219460452,"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."}}