{"id":"W6942054774","doi":"10.1371/journal.pone.0303175.g001","title":"Study cohort identification flowchart.","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Odds; Odds ratio; Pandemic; Cohort study; Cohort; Epidemiology; Pregnancy","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":[0.005310366,0.001428499,0.001501086,0.004255714,0.00220181,0.001389848,0.001744345,0.001433613,0.3692023],"category_scores_gemma":[0.01522437,0.001419141,0.001139921,0.00335145,0.0003145084,0.001266137,0.001404866,0.001520405,0.06273474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904067,"about_ca_system_score_gemma":0.01091595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05810355,"about_ca_topic_score_gemma":0.07335513,"domain_scores_codex":[0.9983571,0.0004797875,0.0003936224,0.0003715944,0.0001586128,0.0002392989],"domain_scores_gemma":[0.9955087,0.001406531,0.0004951393,0.0006437875,0.001455251,0.0004906405],"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":[0.001502238,0.0004178881,0.01497149,0.005091626,0.0001136486,0.0002891626,0.0006956591,0.0006031456,0.0006331955,0.003696169,0.9011514,0.07083446],"study_design_scores_gemma":[0.006955804,0.001000608,0.0590133,0.01288381,0.0002937805,0.001017363,0.001794177,0.003420447,0.0008367164,0.01341823,0.8991146,0.0002511491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004356991,0.000805297,0.009482539,0.00110575,0.0006146245,0.04566743,0.920536,0.0009863045,0.01644515],"genre_scores_gemma":[0.02686157,0.002778868,0.04096233,0.004672199,0.0003468784,0.454312,0.4226477,0.0007349444,0.0466836],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6307976,"threshold_uncertainty_score":0.8997563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945092950954786,"score_gpt":0.250828220242279,"score_spread":0.2213772907327312,"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."}}