{"id":"W6940090691","doi":"10.6084/m9.figshare.28444181","title":"Data Extraction form","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extraction (chemistry); Table (database); Scale (ratio); Data extraction; Pattern recognition (psychology)","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":[0.0370709,0.002672364,0.006738469,0.0138491,0.002015585,0.004787289,0.00317261,0.00291312,0.5780066],"category_scores_gemma":[0.1472565,0.002922496,0.004055141,0.01156536,0.001330443,0.003316406,0.00344625,0.003696332,0.1788349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004068101,"about_ca_system_score_gemma":0.01896006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004217023,"about_ca_topic_score_gemma":0.004658724,"domain_scores_codex":[0.9770508,0.006585683,0.01092567,0.002062596,0.002756729,0.0006186272],"domain_scores_gemma":[0.8652043,0.06790078,0.008077143,0.01773431,0.03851184,0.00257169],"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":[0.002539339,0.0001712024,0.0004997882,0.04334474,0.0002259064,0.0002171435,0.0005278055,0.0004125939,0.0004371899,0.004920707,0.8582771,0.08842649],"study_design_scores_gemma":[0.006834268,0.000350084,0.002313944,0.01560723,0.0003641102,0.0001174758,0.0006386461,0.0006860091,0.00111432,0.01179308,0.9599951,0.0001856144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008160432,0.0007614365,0.0132859,0.001692768,0.001254114,0.1785673,0.7829919,0.003151501,0.01747899],"genre_scores_gemma":[0.002917877,0.001479115,0.03943738,0.001838973,0.000462371,0.8150982,0.1147009,0.001628117,0.02243716],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4219934,"threshold_uncertainty_score":0.6019224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9417321898273665,"score_gpt":0.6315564060169657,"score_spread":0.3101757838104008,"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."}}