{"id":"W7084127341","doi":"10.1016/j.jnr.2025.09.001","title":"Developing a pan-Canadian nursing regulation research agenda","year":2025,"lang":"en","type":"article","venue":"Journal of Nursing Regulation","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Athabasca University; University of Regina; CARE Canada; Canadian Institutes of Health Research; Institute on Governance","funders":"Institute of Health Services and Policy Research; Canadian Institutes of Health Research","keywords":"MEDLINE; Nursing research","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166565,0.0001006674,0.0001554159,0.0008156992,0.0002349496,0.00008835019,0.0001738862,0.0001704732,0.00001222088],"category_scores_gemma":[0.0002637994,0.0001048141,0.0001144829,0.0005723436,0.0001228689,0.00002465542,0.00001377661,0.000184081,0.000003231112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007106452,"about_ca_system_score_gemma":0.0006497087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001744074,"about_ca_topic_score_gemma":0.0003643015,"domain_scores_codex":[0.9986521,0.0001881338,0.0004315567,0.0001865381,0.0002912727,0.0002503804],"domain_scores_gemma":[0.9986339,0.00002542954,0.0002179297,0.00025161,0.0008078222,0.00006326834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008997266,0.0000601067,0.0005412662,0.00001306801,0.00006508985,0.000004378777,0.0002462141,0.0001583853,0.610958,0.001374943,0.04122572,0.3452629],"study_design_scores_gemma":[0.0005407516,0.0002153349,0.08745644,0.002142373,0.000130941,0.0001112719,0.0004882446,0.001339893,0.8387639,0.03289573,0.03564825,0.0002668933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6783902,0.002517106,0.2726128,0.00910882,0.0004465748,0.0004007405,0.000001205606,0.0000278907,0.03649461],"genre_scores_gemma":[0.986605,0.00006847457,0.01146329,0.00008995579,0.0002880221,0.000001567734,0.00002893164,0.00001452277,0.001440196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3449959,"threshold_uncertainty_score":0.4274195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05552424396302565,"score_gpt":0.4119890189994255,"score_spread":0.3564647750363998,"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."}}