{"id":"W7108477439","doi":"10.25545/b8dmpi","title":"Search for using theatre as knowledge translation approach for health research","year":2025,"lang":"","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"CINAHL; PsycINFO; MEDLINE; Knowledge translation; Field (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.03145861,0.001944632,0.002728287,0.006228134,0.005315227,0.001062904,0.004839523,0.002022145,0.0007783374],"category_scores_gemma":[0.001691733,0.002213874,0.001086153,0.0059494,0.001512702,0.001422058,0.001682465,0.004033315,0.003304248],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005237009,"about_ca_system_score_gemma":0.02468914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002591266,"about_ca_topic_score_gemma":0.0008570132,"domain_scores_codex":[0.9779155,0.005504821,0.002823435,0.005194765,0.002909452,0.00565198],"domain_scores_gemma":[0.9804432,0.0072226,0.0007778088,0.006975756,0.003125682,0.00145495],"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":[0.006768243,0.003102634,0.000002222787,0.02344784,0.0008463539,0.000006768949,0.001893301,0.0009257222,0.0001419842,0.001120563,0.9413111,0.02043333],"study_design_scores_gemma":[0.007585161,0.001610534,3.724099e-7,0.00174101,0.0007413698,0.00002483101,0.004930964,0.1600664,0.0002474356,0.000133717,0.8216458,0.001272453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001927714,0.001292359,0.05588271,0.0002016388,0.0009623102,0.02933152,0.9108538,0.0001331222,0.001323229],"genre_scores_gemma":[0.00006830247,0.0009869448,0.05974592,0.0001482024,0.00181197,0.001616182,0.9341374,0.0004734295,0.001011637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1591406,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4455655449689426,"score_gpt":0.5134552533844267,"score_spread":0.06788970841548408,"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."}}