{"id":"W6885906089","doi":"10.1371/journal.pone.0284356.s002","title":"Correlogram of relevant variables from baseline.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Correlogram; Competence (human resources); Statistical analysis; Quality (philosophy)","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":[],"consensus_categories":[],"category_scores_codex":[0.001854974,0.0005399668,0.0009324316,0.001260981,0.0004159856,0.0005611107,0.0006291149,0.0005928597,0.04393551],"category_scores_gemma":[0.008651413,0.0002219928,0.0007684591,0.001499332,0.0001478889,0.000778201,0.0004273955,0.002179298,0.00501446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005937877,"about_ca_system_score_gemma":0.001111785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008074635,"about_ca_topic_score_gemma":0.005945957,"domain_scores_codex":[0.9989803,0.0001873786,0.00008494712,0.0003481751,0.0002170939,0.0001820647],"domain_scores_gemma":[0.994558,0.002258204,0.0006327533,0.000706195,0.001456109,0.0003887636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007971453,0.0006898043,0.5124376,0.001526262,0.001514073,0.001117715,0.0003338636,0.002005697,0.002005804,0.001451141,0.3044979,0.1644488],"study_design_scores_gemma":[0.000306039,0.0008368409,0.9515504,0.0002742526,0.0004505171,0.0009683646,0.0003215449,0.003094994,0.0008795371,0.001154979,0.04007814,0.00008431868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3407961,0.006227464,0.01374701,0.002434839,0.002823432,0.001084674,0.5978343,0.00272442,0.03232784],"genre_scores_gemma":[0.7826996,0.001532773,0.008672134,0.0008352075,0.0008191789,0.003324438,0.1698532,0.0006215692,0.03164176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04393551,"threshold_uncertainty_score":0.1469789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05945610289777326,"score_gpt":0.3446152007996683,"score_spread":0.285159097901895,"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."}}