{"id":"W4411293798","doi":"10.12927/cjnl.2025.27614","title":"Data, Advocacy and Policy: A Powerful Trio for Change","year":2025,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority","funders":"","keywords":"Nursing; Political science; Psychology; Politics; Public relations; Sociology; Medicine; Law","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":[],"category_scores_codex":[0.2469374,0.001795264,0.004489621,0.00759989,0.02791808,0.06837897,0.01061659,0.0785194,0.01741038],"category_scores_gemma":[0.2529497,0.00238009,0.003336714,0.005393927,0.09242485,0.09424284,0.04470702,0.1058077,0.004492625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01897047,"about_ca_system_score_gemma":0.06905123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004723386,"about_ca_topic_score_gemma":0.005676568,"domain_scores_codex":[0.809956,0.112909,0.01008211,0.01240213,0.04146051,0.01319026],"domain_scores_gemma":[0.5124156,0.3683099,0.01048178,0.02147017,0.03506082,0.05226176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005694092,0.0001347935,0.0007179856,0.0006228461,0.00011631,0.000520987,0.006968312,0.0002890109,0.0002059973,0.5433881,0.4024546,0.04452413],"study_design_scores_gemma":[0.00005996929,0.00006548596,0.000330263,0.001859991,0.00003699558,0.000440845,0.01386666,0.0005740232,0.0001200404,0.4343994,0.5481021,0.0001441635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001551081,0.002217353,0.002021529,0.9883277,0.004862188,0.00001790394,0.00001188016,0.00003341459,0.00235291],"genre_scores_gemma":[0.05432077,0.009498859,0.01631209,0.8819301,0.03042897,0.0003614847,0.00007076341,0.0003582395,0.006718877],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2469374,"threshold_uncertainty_score":0.9286603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7680123390100543,"score_gpt":0.5207524097233138,"score_spread":0.2472599292867405,"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."}}