{"id":"W2885055835","doi":"10.7748/ns.33.5.32.s15","title":"How a social media post started a safe staffing revolution","year":2018,"lang":"en","type":"article","venue":"Nursing Standard","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Action (physics); Nursing; Social media; Psychology; Medicine; Political science; Law","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":[0.007284327,0.00044442,0.0004219812,0.001348695,0.02363657,0.01583499,0.001799641,0.009030797,0.01278198],"category_scores_gemma":[0.02810797,0.0006507144,0.0006879577,0.001582586,0.009715112,0.005129493,0.003900697,0.0182593,0.001810498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07604513,"about_ca_system_score_gemma":0.09578373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9117752,"about_ca_topic_score_gemma":0.957249,"domain_scores_codex":[0.9892067,0.001931302,0.0002420831,0.0005145204,0.004288151,0.003817311],"domain_scores_gemma":[0.9583001,0.007754076,0.001528908,0.0008596368,0.01437684,0.01718037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002105501,0.0002055188,0.01712489,0.0001147408,0.00007025205,0.0009414396,0.05824754,0.0003793392,0.001143452,0.02412774,0.8602646,0.03716997],"study_design_scores_gemma":[0.00006154413,0.0001083556,0.03766459,0.0002594212,0.00005434224,0.0001376351,0.07143269,0.0004070149,0.0008150081,0.002725001,0.8861629,0.0001714537],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07830645,0.001178515,0.0003882862,0.8510578,0.009241814,0.00004671557,0.0005582411,0.0002170919,0.05900501],"genre_scores_gemma":[0.5996225,0.001587336,0.0005779137,0.2964403,0.004727034,0.00007149039,0.0003002942,0.0004316845,0.0962414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9117752,"threshold_uncertainty_score":0.5517486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05543150727457294,"score_gpt":0.3827819891981232,"score_spread":0.3273504819235502,"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."}}