{"id":"W6958372238","doi":"10.6084/m9.figshare.28888348.v1","title":"Additional file 1 of Functional connectivity between the visual and salience networks and autistic social features at school-age","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Salience (neuroscience); Functional connectivity; Identification (biology); Feature (linguistics); Visualization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008964382,0.001441209,0.001516751,0.003021148,0.001088043,0.001862942,0.002280341,0.001475512,0.9138554],"category_scores_gemma":[0.02790599,0.000705613,0.001228516,0.003111619,0.0003700907,0.002125554,0.001242785,0.0008990784,0.1785991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008768423,"about_ca_system_score_gemma":0.00146777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127274,"about_ca_topic_score_gemma":0.02449281,"domain_scores_codex":[0.9995443,0.00006613303,0.00006507955,0.0001606289,0.00008943951,0.00007433452],"domain_scores_gemma":[0.9770476,0.01883672,0.0009631136,0.0009980919,0.001543228,0.0006112192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003680578,0.0001850993,0.006319052,0.002639113,0.000141203,0.0002114355,0.0001548679,0.000762197,0.0001977843,0.001419473,0.9731084,0.01449332],"study_design_scores_gemma":[0.01173217,0.0007913026,0.1717519,0.008130678,0.0009628159,0.005282525,0.001586916,0.00812359,0.002058194,0.05854119,0.7304444,0.000594252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004771897,0.00002605027,0.0003535768,0.00006103891,0.00002492937,0.00005536828,0.9976325,0.0002343972,0.001134956],"genre_scores_gemma":[0.02399073,0.0002783502,0.008263309,0.0006141921,0.0002100373,0.002701026,0.9481724,0.001335082,0.01443492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9138554,"threshold_uncertainty_score":0.1228747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603251541467863,"score_gpt":0.29804538161296,"score_spread":0.2620128661982814,"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."}}