{"id":"W6920998420","doi":"10.6084/m9.figshare.26567824.v1","title":"Additional file 1 of The subcortical correlates of autistic traits in school-age children: a population-based neuroimaging study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Neuroimaging; Autism; Autistic traits; Functional neuroimaging","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":[0.00126063,0.001242582,0.001414742,0.003075124,0.001235576,0.001414751,0.002160857,0.001225825,0.8410862],"category_scores_gemma":[0.03155697,0.0006045587,0.0009883529,0.004678542,0.0003212944,0.001779767,0.000917302,0.0007432377,0.09341701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008868867,"about_ca_system_score_gemma":0.00146697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009909813,"about_ca_topic_score_gemma":0.01290453,"domain_scores_codex":[0.9994358,0.00009789557,0.0001340352,0.0001826044,0.00008876644,0.00006081542],"domain_scores_gemma":[0.9746816,0.01913824,0.001785228,0.001461135,0.002391062,0.0005425977],"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":[0.0004611784,0.0001349085,0.008299685,0.003305696,0.0001291732,0.0002368175,0.0001137444,0.0003287902,0.0001554604,0.0008327096,0.9730472,0.01295457],"study_design_scores_gemma":[0.01362168,0.0009749316,0.2147813,0.01293877,0.001464675,0.008770541,0.001654222,0.004118865,0.001918075,0.03338178,0.7058256,0.0005495949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0005406348,0.0000329428,0.0002543248,0.00008016732,0.00001499711,0.0001085061,0.9980146,0.0001028937,0.0008508441],"genre_scores_gemma":[0.02025182,0.000345922,0.005335114,0.0006300237,0.0001784271,0.003705045,0.9586161,0.0005199164,0.01041762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8410862,"threshold_uncertainty_score":0.2266712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03155662897104843,"score_gpt":0.2906289093326597,"score_spread":0.2590722803616113,"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."}}