{"id":"W6930466547","doi":"10.5281/zenodo.14582776","title":"nilearn","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Flavonoids in Medical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute; Toronto Western Hospital; McGill University; Queen's University; Mila - Quebec Artificial Intelligence Institute; Compute Canada; Concordia University; Western University","funders":"","keywords":"Documentation; Identification (biology); Process (computing); Statistical analysis","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":[0.0066945,0.005487986,0.003170581,0.004863848,0.00175295,0.004998752,0.007557441,0.003770939,0.1131377],"category_scores_gemma":[0.01897202,0.002299509,0.004089316,0.00575305,0.001053256,0.003999605,0.005751675,0.005637216,0.1875242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263282,"about_ca_system_score_gemma":0.004284231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005988528,"about_ca_topic_score_gemma":0.007581578,"domain_scores_codex":[0.9941007,0.001724126,0.0007141147,0.001632923,0.001297249,0.0005307487],"domain_scores_gemma":[0.9965219,0.001168808,0.0001967467,0.0006768875,0.001181041,0.0002545523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007529744,0.0001597351,0.0008468091,0.001842167,0.0003876816,0.0001885009,0.0001930091,0.01600104,0.001323027,0.004676513,0.779105,0.1945235],"study_design_scores_gemma":[0.0007862143,0.0002542397,0.00101532,0.0008546195,0.0002217854,0.0004586938,0.0002032974,0.1513645,0.01019659,0.07108773,0.763227,0.0003301619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.004707717,0.005414587,0.365678,0.001386049,0.002789604,0.001124997,0.1208941,0.4716553,0.02634961],"genre_scores_gemma":[0.02530532,0.00316453,0.4832909,0.001801661,0.0005469646,0.004308615,0.3665653,0.07213704,0.04287972],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1131377,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04218051992027395,"score_gpt":0.3095967033375014,"score_spread":0.2674161834172274,"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."}}