{"id":"W7111346277","doi":"10.1371/journal.pone.0335144.t002","title":"Draft data extraction instrument<sup>a.</sup>","year":2025,"lang":"","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; Grey literature; Observational study; Data extraction; Systematic review; Categorization; Agency (philosophy); Population; MEDLINE","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":[],"category_scores_codex":[0.08403502,0.004434933,0.01340484,0.02865148,0.004423333,0.01153325,0.00532739,0.007419012,0.2559851],"category_scores_gemma":[0.3092712,0.006468807,0.0114277,0.02442431,0.004485441,0.008231577,0.009023106,0.008207217,0.07728019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009432453,"about_ca_system_score_gemma":0.06044598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008554807,"about_ca_topic_score_gemma":0.006929671,"domain_scores_codex":[0.9221953,0.01683531,0.04659311,0.005509378,0.007168982,0.001697896],"domain_scores_gemma":[0.6442327,0.1122869,0.02974298,0.02614148,0.1832493,0.004346543],"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":[0.001379465,0.0001466431,0.001221196,0.2724223,0.0005635951,0.0005036219,0.00242968,0.0005508669,0.001267403,0.01108995,0.6192394,0.0891858],"study_design_scores_gemma":[0.00260157,0.0002172233,0.004126239,0.2079875,0.0009124685,0.0002558198,0.002436128,0.0008055783,0.001110578,0.0102656,0.769012,0.0002691377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"protocol","genre_gemma":"dataset","genre_scores_codex":[0.00140864,0.004819789,0.01563084,0.009442563,0.007235226,0.5147825,0.4287519,0.001416723,0.0165117],"genre_scores_gemma":[0.001690108,0.002653098,0.03258257,0.001930558,0.000375918,0.9196268,0.03430989,0.0004722235,0.006358869],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.744015,"threshold_uncertainty_score":0.8563553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100915158475857,"score_gpt":0.3429400391346415,"score_spread":0.2420248806587845,"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."}}