{"id":"W6923613488","doi":"10.1371/journal.pone.0285123.s002","title":"S2 File -","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Major depressive disorder; Genotyping; DNA methylation; Biomarker; Confounding; Matrix decomposition; Antidepressant; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000009532659,0.00002588098,0.00002088702,0.00003111871,0.00002596304,0.00004364234,0.0002309066,0.00001123636,0.08993665],"category_scores_gemma":[0.0001709247,0.00002593021,0.00001344167,0.0002548588,2.946809e-7,0.00008177792,0.00009220635,0.00002665712,0.01744945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006164652,"about_ca_system_score_gemma":0.00002160799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.767834e-7,"about_ca_topic_score_gemma":1.933218e-7,"domain_scores_codex":[0.9997464,0.000001489175,0.00002981746,0.00007170508,0.00006389047,0.00008666039],"domain_scores_gemma":[0.9997535,0.00006641732,0.00000641138,0.0001252525,0.00001875159,0.00002962721],"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":[9.049612e-9,0.000001222045,9.290016e-7,0.000006577548,6.807169e-7,0.000002100916,0.0000317145,0.001805256,0.000004317252,0.001012767,0.9961374,0.0009970574],"study_design_scores_gemma":[0.00001702846,0.000003824971,0.008669991,0.0001179557,1.467431e-7,0.000001892923,0.000003900368,0.1471929,0.00006382794,0.0004362036,0.8434232,0.00006909628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004618876,0.0004701848,0.008287531,0.01163172,0.002950679,0.000550107,0.761174,0.007596174,0.2068777],"genre_scores_gemma":[0.2024299,0.000008687191,0.05592217,0.002008366,0.001637655,0.0009340317,0.701745,0.00007811415,0.03523603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.201968,"threshold_uncertainty_score":0.9833156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858020635849265,"score_gpt":0.2502585153511812,"score_spread":0.2016783089926885,"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."}}