{"id":"W7111240544","doi":"10.1371/journal.pone.0320603.s006","title":"Study screening and exclusion details.","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; Epidemiology; Subgroup analysis; Risk assessment; Exposure assessment; Publication bias; Health care; Agency (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02007509,0.003948881,0.01059718,0.009169493,0.003055548,0.002788925,0.003902997,0.006775647,0.1348852],"category_scores_gemma":[0.05514168,0.001798515,0.00474813,0.007364745,0.001410166,0.00349833,0.002329962,0.002654265,0.02644057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002843344,"about_ca_system_score_gemma":0.01933083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005684934,"about_ca_topic_score_gemma":0.009270566,"domain_scores_codex":[0.9820853,0.004089864,0.008250938,0.002859661,0.001745555,0.0009687351],"domain_scores_gemma":[0.9671174,0.01132556,0.004139357,0.008697201,0.007519156,0.001201346],"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":[0.01539754,0.0007754907,0.012248,0.1856247,0.001558697,0.009227123,0.0036846,0.0006321927,0.003392768,0.01688028,0.5952201,0.1553586],"study_design_scores_gemma":[0.008058452,0.0008868165,0.01831185,0.07344805,0.001866782,0.0025866,0.0009802553,0.001843839,0.00188248,0.01739822,0.8724457,0.0002909636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"other","genre_scores_codex":[0.01017897,0.02536732,0.02450685,0.007891939,0.006660462,0.6043348,0.2828923,0.001714762,0.03645249],"genre_scores_gemma":[0.02426398,0.009315232,0.02293498,0.009618141,0.001437992,0.8387781,0.06639437,0.0006753794,0.02658181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8651148,"threshold_uncertainty_score":0.4512358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929735098121957,"score_gpt":0.2754506525495315,"score_spread":0.246153301568312,"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."}}