{"id":"W7110909934","doi":"10.1371/journal.pone.0320603.s011","title":"Results of sensitivity analyses.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Exposure assessment; Epidemiology; Publication bias; Subgroup analysis; Risk assessment; Confounding; Meta-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":[0.1784204,0.006557157,0.009763638,0.009004676,0.00135754,0.004418103,0.004536696,0.004528157,0.1424797],"category_scores_gemma":[0.4153702,0.002311777,0.05463764,0.009249008,0.001131067,0.005590813,0.004883579,0.005577893,0.01052624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351256,"about_ca_system_score_gemma":0.006527436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006686172,"about_ca_topic_score_gemma":0.007104881,"domain_scores_codex":[0.7772923,0.1810718,0.01895708,0.01013556,0.009653959,0.002889351],"domain_scores_gemma":[0.7285711,0.2321752,0.008948936,0.01829488,0.01142226,0.0005877624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01493887,0.0004700258,0.01300389,0.2434072,0.312331,0.001316205,0.001161349,0.03076631,0.0007943923,0.02963408,0.1470976,0.2050792],"study_design_scores_gemma":[0.007815909,0.002032364,0.01786394,0.06626863,0.3790484,0.001595489,0.001620963,0.0302584,0.003556662,0.1134015,0.3757237,0.0008140926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01966249,0.1713997,0.3043444,0.01127394,0.0180325,0.08194698,0.3170365,0.00479247,0.07151099],"genre_scores_gemma":[0.3913033,0.04489386,0.2517927,0.01513166,0.002910146,0.2028338,0.05954243,0.004003115,0.02758902],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8575203,"threshold_uncertainty_score":0.9435886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04904490521468467,"score_gpt":0.3212181806628995,"score_spread":0.2721732754482148,"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."}}