{"id":"W4312223769","doi":"10.1108/intr-04-2022-0238","title":"The impact of ignorance and bias on information security protection motivation: a case of e-waste handling","year":2022,"lang":"en","type":"article","venue":"Internet Research","topic":"Information and Cyber Security","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ignorance; Coping (psychology); Psychology; Risk perception; Perception; Social psychology; Originality; Information security; Applied psychology; Risk analysis (engineering); Business; Computer security; Computer science; Clinical psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.002120571,0.00005202242,0.00007240938,0.000209363,0.0002693639,0.0001291758,0.0003332526,0.0000205153,0.00002013158],"category_scores_gemma":[0.0002618671,0.0000370362,0.00004006092,0.0005205551,0.00007645648,0.0006699333,0.0003650527,0.0003382567,0.000003454991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009548021,"about_ca_system_score_gemma":0.00008734218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766222,"about_ca_topic_score_gemma":0.0000434936,"domain_scores_codex":[0.9987705,0.0002670999,0.0002691507,0.00008054411,0.0004664216,0.0001462674],"domain_scores_gemma":[0.9990141,0.0002128068,0.0001471266,0.0002474048,0.000346496,0.00003205029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001408026,0.0005344824,0.005005833,0.000584243,0.0002043971,0.00007134651,0.2469399,0.01168189,0.0007905217,0.3973339,0.008107335,0.3273382],"study_design_scores_gemma":[0.0008123983,0.001921922,0.002617625,0.00006355099,0.000001410701,0.0003917309,0.004017722,0.9623129,0.01887326,0.00629249,0.002564096,0.0001309298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902159,0.00002623672,0.007324375,0.0002507623,0.00006477686,0.000334072,0.00001014862,0.00001382368,0.001759899],"genre_scores_gemma":[0.9998509,0.000006929674,0.00003132783,0.00001168143,0.000010322,0.00004675959,0.000001987994,0.000001518948,0.00003856412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.950631,"threshold_uncertainty_score":0.4181719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0778527727976493,"score_gpt":0.3522420167148044,"score_spread":0.2743892439171551,"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."}}