{"id":"W6960562795","doi":"10.1371/journal.pgph.0002631.s013","title":"Study data.","year":2023,"lang":"en","type":"dataset","venue":"London School of Hygiene & Tropical Medicine","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odds; Odds ratio; Meta-analysis; Helminths; Epidemiology; Inclusion (mineral)","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":["insufficient_payload"],"category_scores_codex":[0.01071197,0.001413113,0.003326405,0.007140882,0.001461951,0.004949735,0.003209333,0.004365448,0.4722271],"category_scores_gemma":[0.05714482,0.001064559,0.003779444,0.008698798,0.000687904,0.003177491,0.003160604,0.003168323,0.151843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002530484,"about_ca_system_score_gemma":0.01763137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008310275,"about_ca_topic_score_gemma":0.007877039,"domain_scores_codex":[0.988289,0.003606689,0.003681139,0.002104357,0.001651103,0.0006675713],"domain_scores_gemma":[0.9755524,0.009562857,0.002480668,0.003292723,0.007976118,0.001135242],"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":[0.001808141,0.0001249264,0.002800655,0.07954065,0.0009329043,0.0002293767,0.0003665905,0.0002914038,0.0001806607,0.007430353,0.7893704,0.1169239],"study_design_scores_gemma":[0.001878493,0.0001636208,0.003345643,0.03774368,0.0007631601,0.0002714655,0.0003708008,0.0002782211,0.0002159769,0.008297455,0.9465835,0.00008801528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001231943,0.01141218,0.004174881,0.006406648,0.004804534,0.01267155,0.8921145,0.001189545,0.06599422],"genre_scores_gemma":[0.0239782,0.02506818,0.02896865,0.02392744,0.002389639,0.1572273,0.6329485,0.002326558,0.1031655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5277729,"threshold_uncertainty_score":0.752804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06507192349751308,"score_gpt":0.293516849142641,"score_spread":0.228444925645128,"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."}}