{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002863333,0.0001686295,0.0001493584,0.000009519766,0.00002931473,0.0000870606,0.0002243415,0.0001214367,0.8271914],"category_scores_gemma":[0.00004290728,0.00004780554,0.00007981222,0.0001065496,0.00000182909,0.00001312563,0.0001197749,0.0001327048,0.06761268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001378186,"about_ca_system_score_gemma":0.000004519475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007231443,"about_ca_topic_score_gemma":0.0007237939,"domain_scores_codex":[0.9991786,0.00002456005,0.00008929146,0.0003095334,0.0002279653,0.0001700192],"domain_scores_gemma":[0.9998147,0.000008066606,0.00003853243,0.00006486593,0.0000183256,0.00005548259],"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":[8.746282e-7,0.00004341953,0.000004178499,0.00005291328,0.0000253403,0.00002322879,0.00002782355,2.220803e-8,0.00002125212,2.538953e-7,0.9849434,0.01485727],"study_design_scores_gemma":[0.00003092737,0.0001311634,0.000205994,0.001057404,0.00001076302,0.000001030355,0.00009329048,0.000001606071,0.00001094374,0.000004604065,0.998283,0.0001693276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001795364,0.004549057,1.048838e-9,0.0002677008,0.0002389058,0.0006758777,0.236966,0.0004218628,0.7568626],"genre_scores_gemma":[0.001623918,0.000004921621,0.000002566532,0.0001799838,0.001644664,0.0002657687,0.04152986,0.00001892246,0.9547294],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7595786,"threshold_uncertainty_score":0.9331133,"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."}}