{"id":"W6925393947","doi":"10.17605/osf.io/evxt4","title":"HEARTS Study - Quantitative Data 2","year":2025,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conceptualization; Equity (law); Transparency (behavior); Health care; Triage; Mental health; Health data; Socialization; Data system","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":[0.03063404,0.0008457272,0.001263409,0.005142821,0.00301625,0.004497447,0.002304665,0.00193998,0.424049],"category_scores_gemma":[0.1530259,0.001315633,0.001187364,0.008227249,0.001769648,0.002751172,0.003308887,0.003246479,0.05603696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004624129,"about_ca_system_score_gemma":0.02007727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03665972,"about_ca_topic_score_gemma":0.05483001,"domain_scores_codex":[0.9806117,0.008648356,0.002543398,0.002328348,0.00472912,0.001139062],"domain_scores_gemma":[0.851653,0.09244095,0.004502235,0.01659962,0.03244987,0.00235434],"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":[0.0006112777,0.0003428748,0.004773404,0.00366543,0.00008302771,0.0001298082,0.004188067,0.0003926654,0.000261372,0.01376795,0.9379659,0.03381825],"study_design_scores_gemma":[0.001423499,0.0002530317,0.02394782,0.003656582,0.00007974329,0.000103275,0.00536064,0.0006617023,0.0007181875,0.01084595,0.952751,0.0001985836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004973099,0.0001504842,0.008199214,0.001654917,0.0005288441,0.02206561,0.9399421,0.001500844,0.02098487],"genre_scores_gemma":[0.03498968,0.0003050574,0.06876991,0.002890915,0.0003019723,0.5054833,0.3546419,0.00370809,0.02890915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.424049,"threshold_uncertainty_score":0.8215243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127318398480826,"score_gpt":0.3308351527810794,"score_spread":0.2895619687962712,"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."}}