{"id":"W6902166115","doi":"10.6084/m9.figshare.26574454.v1","title":"Additional file 4 of Insights from using an outcomes measurement properties search filter and conducting citation searches to locate psychometric articles of tools used to measure context attributes","year":2024,"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":"University of Ottawa; Canadian Agency for Drugs and Technologies in Health; Ottawa Hospital","funders":"","keywords":"Measure (data warehouse); Context (archaeology); Filter (signal processing); Citation; Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01328668,0.001459784,0.001857323,0.01462419,0.00109097,0.003465895,0.002051101,0.001937113,0.8753994],"category_scores_gemma":[0.1853935,0.0009882603,0.002705473,0.01615361,0.0004594605,0.004774123,0.002875622,0.001256189,0.1044921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045418,"about_ca_system_score_gemma":0.006653074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008452274,"about_ca_topic_score_gemma":0.0199251,"domain_scores_codex":[0.9938047,0.001835829,0.002206199,0.0005753402,0.00116892,0.0004089894],"domain_scores_gemma":[0.6718647,0.2923451,0.01102096,0.005150313,0.01824749,0.00137147],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001050238,0.0001185237,0.002805143,0.05157314,0.0002560544,0.0001327463,0.0004163302,0.0005551416,0.0002165523,0.002780367,0.9091465,0.03094938],"study_design_scores_gemma":[0.006884008,0.0004280847,0.01890791,0.03855953,0.001432024,0.0005382418,0.001369635,0.002112179,0.001240151,0.02217854,0.906078,0.000271638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000285617,0.0001111159,0.0008808063,0.0005664207,0.00005804284,0.0007447856,0.9941573,0.0005276382,0.002668175],"genre_scores_gemma":[0.01744467,0.001480153,0.04312131,0.00307249,0.0004092673,0.02779173,0.8693572,0.003314799,0.03400841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9867133,"threshold_uncertainty_score":0.1777276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9799011766023259,"score_gpt":0.4837601415776344,"score_spread":0.4961410350246915,"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."}}