{"id":"W2468066100","doi":"10.14288/1.0075954","title":"Nursing workforce study, volume 1 : demographic context and health system structure for nursing services in Canada","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Nursing; Context (archaeology); Medicine; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001419191,0.0003340113,0.0004471313,0.003552212,0.005589917,0.001897987,0.001634137,0.0004841775,0.003565012],"category_scores_gemma":[0.004294561,0.0004232514,0.0006118959,0.01008428,0.0006844361,0.0009533659,0.001764943,0.0009500993,0.0004198626],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06416977,"about_ca_system_score_gemma":0.121002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966298,"about_ca_topic_score_gemma":0.9986013,"domain_scores_codex":[0.9983562,0.00009872274,0.0001006289,0.0001520903,0.0008086942,0.0004836133],"domain_scores_gemma":[0.9966055,0.0001748658,0.000375327,0.0001058752,0.001839201,0.0008991845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009263604,0.0001421663,0.9574131,0.0001779899,0.00004889567,0.0001080622,0.004477216,0.0001559663,0.0001925918,0.001008227,0.01812865,0.01805437],"study_design_scores_gemma":[0.000009542429,0.00001903076,0.9900568,0.00005276692,0.000009941017,0.00002776398,0.002992652,0.000145157,0.00005432963,0.000053371,0.006569211,0.000009511929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010176,0.002248513,0.0003745453,0.002815736,0.00009286494,0.0007772836,0.07663779,0.00004928756,0.01598644],"genre_scores_gemma":[0.9538325,0.00192688,0.001025605,0.001097239,0.00004626,0.000601852,0.03079496,0.00003574205,0.01063896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9358302,"threshold_uncertainty_score":0.4655865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155540967289671,"score_gpt":0.2788750065001956,"score_spread":0.2633209097712285,"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."}}