{"id":"W7000928554","doi":"","title":"Human aspects of information security, privacy, and trust: 4th international conference, HAS 2016, held as part of HCI international 2016, Toronto, ON, Canada, July 17-22, 2016, proceedings","year":2016,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Information system; Work (physics); Government (linguistics)","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":[0.008122023,0.000759376,0.000605955,0.001665617,0.001975924,0.009680281,0.0007311096,0.001778403,0.02324699],"category_scores_gemma":[0.005797341,0.0004779471,0.000390171,0.001911945,0.003821965,0.005901136,0.003351102,0.002677676,0.004443192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002994614,"about_ca_system_score_gemma":0.005756002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01684397,"about_ca_topic_score_gemma":0.03699513,"domain_scores_codex":[0.9979218,0.0009081973,0.0001160669,0.0002199708,0.0006237215,0.0002102695],"domain_scores_gemma":[0.9922574,0.002873858,0.0002388212,0.0008297631,0.002307167,0.00149305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000266551,0.0002108839,0.004051798,0.0009918662,0.00006087325,0.00012644,0.007668131,0.000701491,0.003506665,0.03884739,0.4366887,0.5068792],"study_design_scores_gemma":[0.00002440101,0.00008787425,0.01153345,0.001438235,0.00007050815,0.0003593212,0.008411255,0.001862701,0.003104065,0.03632063,0.9367255,0.00006203054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0416142,0.291507,0.1417139,0.1747845,0.02052618,0.0006105709,0.002353109,0.003531444,0.3233591],"genre_scores_gemma":[0.3583136,0.1286085,0.07710972,0.006905926,0.007348638,0.0004758259,0.003707166,0.00150437,0.4160264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02324699,"threshold_uncertainty_score":0.07776886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024587988410983,"score_gpt":0.2706358919003375,"score_spread":0.2503900120162277,"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."}}