{"id":"W6904699969","doi":"10.1371/journal.pone.0315474.s001","title":"S1 File -","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social vulnerability; Construct (python library); Vulnerability (computing); Descriptive statistics; Social network (sociolinguistics); Standard error; Regression analysis","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":[0.004159039,0.001315913,0.001676055,0.003434245,0.002321503,0.003615355,0.003608729,0.002009209,0.9097229],"category_scores_gemma":[0.0479285,0.001239566,0.001012608,0.007006187,0.0006154537,0.003673942,0.002954017,0.002068195,0.5338205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306643,"about_ca_system_score_gemma":0.006383265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02681311,"about_ca_topic_score_gemma":0.03318552,"domain_scores_codex":[0.9983603,0.0002795648,0.0002158406,0.0004646502,0.0003947725,0.0002848102],"domain_scores_gemma":[0.976481,0.01335951,0.0008964123,0.002277554,0.005647833,0.001337709],"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":[0.00007737806,0.00002484897,0.0004508198,0.000443129,0.000006154417,0.00001494355,0.00004035328,0.00006505597,0.0000266361,0.000473003,0.9942053,0.004172387],"study_design_scores_gemma":[0.0008639523,0.00006812524,0.004396068,0.001343538,0.00002915177,0.0001011819,0.0005542007,0.0004672453,0.0002994128,0.004887817,0.9869277,0.00006161521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00009451724,0.00001978631,0.0002372762,0.000203987,0.0000817793,0.0001499861,0.9950657,0.0004838542,0.003663158],"genre_scores_gemma":[0.002361064,0.0001785119,0.004305268,0.001475493,0.0001228627,0.003185679,0.9582888,0.00186447,0.02821788],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09027714,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07944386179582821,"score_gpt":0.3860296667036315,"score_spread":0.3065858049078033,"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."}}