{"id":"W6960927174","doi":"10.1371/journal.pone.0299569.g001","title":"Study flow chart.","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Multivariate statistics; Stroke (engine); Multivariate analysis; Longitudinal study; Tracking (education); Rehabilitation","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":[0.003489505,0.001082389,0.001479948,0.002701095,0.001714115,0.001838916,0.001644016,0.001402016,0.582032],"category_scores_gemma":[0.01514524,0.0007445446,0.0009301436,0.003355687,0.0003060735,0.001217103,0.001389311,0.001436706,0.1369599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157137,"about_ca_system_score_gemma":0.0103128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03430716,"about_ca_topic_score_gemma":0.03647763,"domain_scores_codex":[0.9986342,0.000374783,0.0002865087,0.0003117187,0.0001937116,0.0001991439],"domain_scores_gemma":[0.9957931,0.001542304,0.0003336025,0.0003849996,0.00136341,0.0005825976],"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":[0.001395441,0.0002569814,0.004894534,0.003853778,0.00006334668,0.0001303532,0.0001751395,0.0002311826,0.0001773037,0.002407075,0.9341842,0.05223064],"study_design_scores_gemma":[0.003666186,0.0005595376,0.01656054,0.006922063,0.0001626446,0.0006894524,0.0006030797,0.0006482837,0.0003094728,0.005413228,0.9643748,0.00009055419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003612113,0.002926314,0.00561688,0.002972969,0.001982968,0.03403593,0.864609,0.001288912,0.08295482],"genre_scores_gemma":[0.03372217,0.008011794,0.03509353,0.0164403,0.001221574,0.2356776,0.5360105,0.001369493,0.1324531],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.417968,"threshold_uncertainty_score":0.5961807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015387712063866,"score_gpt":0.2419990940078949,"score_spread":0.1404603228015083,"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."}}