{"id":"W6931794780","doi":"10.5281/zenodo.6728337","title":"Shafiei_2022_megfmrimapping","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Code (set theory); Software; Order (exchange); Preprint","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":[0.001664075,0.002379579,0.001375571,0.002367775,0.001122937,0.003312399,0.002935515,0.002938842,0.6269231],"category_scores_gemma":[0.01384002,0.001482749,0.00132445,0.00177246,0.001092138,0.003349047,0.003862033,0.001788178,0.3238057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009104906,"about_ca_system_score_gemma":0.002014493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003824954,"about_ca_topic_score_gemma":0.00627121,"domain_scores_codex":[0.9992468,0.00009498167,0.00007546991,0.0002153839,0.0002647673,0.000102532],"domain_scores_gemma":[0.996981,0.001390021,0.0001407251,0.0008513891,0.0004560136,0.0001808794],"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":[0.000326082,0.00004433404,0.0005452069,0.0006433025,0.00004609092,0.0001278736,0.0001370094,0.001200686,0.002279795,0.005281531,0.93453,0.05483815],"study_design_scores_gemma":[0.0005893731,0.0001025515,0.004976055,0.0002888149,0.00006333932,0.0008008999,0.00009010913,0.01140281,0.01698206,0.03829132,0.9262077,0.0002050177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004309542,0.0007235947,0.1205534,0.00278032,0.003979177,0.0007094817,0.4467859,0.3417576,0.07840104],"genre_scores_gemma":[0.06665011,0.000987838,0.2029591,0.004056938,0.001227668,0.005561958,0.3891672,0.2102462,0.1191432],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6269231,"threshold_uncertainty_score":0.5321488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06103336489489633,"score_gpt":0.3348076655354934,"score_spread":0.273774300640597,"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."}}