{"id":"W4386554339","doi":"10.1177/08404704231196137","title":"Human factors in cybersecurity: Designing an effective cybersecurity education program for healthcare staff","year":2023,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Information and Cyber Security","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"London Health Sciences Centre","keywords":"Health care; Human services; Business; Vulnerability (computing); Workforce; Public relations; Computer security; Aviation; Knowledge management; Computer science; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001086326,0.0003374844,0.0003433418,0.0008468699,0.0007258549,0.0003105265,0.0008228028,0.0001709518,0.000005151731],"category_scores_gemma":[0.00002452675,0.0003600993,0.0001332719,0.001554941,0.00004322662,0.001405375,0.0003613824,0.0003387796,0.00003714218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004916962,"about_ca_system_score_gemma":0.0001609478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753124,"about_ca_topic_score_gemma":0.005319749,"domain_scores_codex":[0.9966782,0.0003011194,0.0006418951,0.000741962,0.0005069197,0.001129915],"domain_scores_gemma":[0.9983275,0.00006580012,0.0002533348,0.0007936467,0.0002271114,0.0003326299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001587068,0.000443552,0.005042223,0.001050763,0.00002502286,0.000008538323,0.0152717,0.00002408196,0.000002512367,0.6444154,0.003205583,0.3304948],"study_design_scores_gemma":[0.006356652,0.006958061,0.3078504,0.001415409,0.00006677749,0.00001455244,0.1525721,0.05786192,0.0007448461,0.2224919,0.2399845,0.003683025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621643,0.0003748171,0.03518951,0.04093141,0.005177252,0.0409462,0.0001281117,0.006876527,0.008211841],"genre_scores_gemma":[0.9873545,0.00003248377,0.007064675,0.00146557,0.00006487619,0.003434167,0.0004112435,0.00003239785,0.0001400503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4219235,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02445641405059184,"score_gpt":0.3399751683339096,"score_spread":0.3155187542833177,"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."}}