{"id":"W6960276075","doi":"10.1371/journal.pgph.0002631.g001","title":"PRISMA flow diagram.","year":2023,"lang":"en","type":"other","venue":"Figshare","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; Inclusion (mineral); Quality (philosophy); Metadata; Neglected tropical diseases","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":[0.03450825,0.002806797,0.006125062,0.01290479,0.001969046,0.007840513,0.005666946,0.004031496,0.7156862],"category_scores_gemma":[0.1221446,0.004112897,0.008948905,0.01250749,0.001658731,0.003872818,0.004179673,0.005704006,0.1229116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004941663,"about_ca_system_score_gemma":0.03864523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315893,"about_ca_topic_score_gemma":0.01449782,"domain_scores_codex":[0.9832855,0.007060711,0.004482637,0.002454816,0.001907446,0.00080897],"domain_scores_gemma":[0.9171923,0.05622367,0.005709585,0.006975112,0.0116148,0.00228444],"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":[0.002584504,0.0002253751,0.001031758,0.2007793,0.001567194,0.0001615238,0.0005435243,0.00189479,0.0004065474,0.01091803,0.7300969,0.04979055],"study_design_scores_gemma":[0.01638059,0.000451039,0.004062682,0.06933624,0.002075908,0.0003856889,0.0008037745,0.00299909,0.0006102249,0.03636463,0.86609,0.0004400998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007325173,0.002517527,0.01391612,0.005643818,0.00358288,0.04870737,0.9026338,0.009374933,0.01289098],"genre_scores_gemma":[0.006627576,0.004507319,0.1501658,0.007625754,0.0005631932,0.6682763,0.1330939,0.004552721,0.0245875],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2843138,"threshold_uncertainty_score":0.4055391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328143934069571,"score_gpt":0.1938730186606914,"score_spread":0.1605915793199957,"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."}}