{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002830385,0.001829559,0.001969745,0.002627074,0.001695249,0.003405621,0.003649715,0.00221095,0.8735138],"category_scores_gemma":[0.02514564,0.001222637,0.001410988,0.00474919,0.0005681975,0.003091758,0.002612156,0.001852851,0.4929914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293083,"about_ca_system_score_gemma":0.003122701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009781456,"about_ca_topic_score_gemma":0.01087496,"domain_scores_codex":[0.9988882,0.000198234,0.0001334184,0.0003663872,0.000253196,0.0001606343],"domain_scores_gemma":[0.987781,0.00792131,0.0004851831,0.001065235,0.002099163,0.0006481439],"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":[0.0002000174,0.0000473099,0.0007205241,0.001046447,0.00001900325,0.00005532174,0.0000538033,0.000269786,0.0001203493,0.0006889364,0.9892386,0.007539889],"study_design_scores_gemma":[0.001542298,0.0001181568,0.003702989,0.001052313,0.00005935575,0.0001950377,0.0003313281,0.001809523,0.0008691276,0.01016259,0.9800541,0.0001032096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001642536,0.00003918218,0.0007699303,0.0002115617,0.0001174938,0.0001556616,0.9925634,0.002066151,0.003912343],"genre_scores_gemma":[0.003942885,0.0001919959,0.008579827,0.001178306,0.000125336,0.001933931,0.960864,0.005547435,0.01763638],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1264862,"threshold_uncertainty_score":0,"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."}}