{"id":"W3025151970","doi":"10.3138/jmvfh-6.1-0002","title":"Expediting research to practice for maximum impact","year":2020,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Military and Veteran Health Research; University of Manitoba; Vanier College","funders":"","keywords":"Expediting; Computer science; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4340731,0.00234658,0.003190916,0.006721041,0.006757095,0.02659863,0.008325729,0.02455489,0.03314726],"category_scores_gemma":[0.6103552,0.002856367,0.003714689,0.006087794,0.01544731,0.02884027,0.02591127,0.02110604,0.007122997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01447668,"about_ca_system_score_gemma":0.1781654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00515767,"about_ca_topic_score_gemma":0.008935839,"domain_scores_codex":[0.542933,0.3871874,0.01773259,0.008283508,0.03217518,0.01168841],"domain_scores_gemma":[0.148369,0.6892129,0.02066531,0.06851412,0.04953707,0.02370165],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00125095,0.003739751,0.01266369,0.01252962,0.0008266119,0.0006238321,0.01156583,0.003149847,0.001058257,0.1365979,0.1538447,0.6621488],"study_design_scores_gemma":[0.002761462,0.002531871,0.01259945,0.03337501,0.0008761889,0.0006428282,0.04504309,0.004844205,0.003604863,0.638688,0.2547419,0.0002910839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.01038494,0.01762136,0.04993631,0.8519841,0.008358582,0.004967309,0.0003567825,0.0009316881,0.05545893],"genre_scores_gemma":[0.3372113,0.02075827,0.415944,0.1951303,0.007056899,0.01221427,0.0005938316,0.0004927715,0.0105984],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5659269,"threshold_uncertainty_score":0.6978887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7782087549369567,"score_gpt":0.7345580140927258,"score_spread":0.04365074084423093,"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."}}