{"id":"W4392902164","doi":"10.1007/978-3-031-54075-2_1","title":"Introduction","year":2024,"lang":"en","type":"book-chapter","venue":"Wireless networks","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006107794,0.0008301301,0.0005485472,0.001475465,0.001375242,0.004458877,0.00183566,0.001975729,0.5818284],"category_scores_gemma":[0.002337902,0.0003563078,0.0005190787,0.00156467,0.0006338424,0.003978423,0.002148491,0.001956259,0.4698637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339399,"about_ca_system_score_gemma":0.001459232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251587,"about_ca_topic_score_gemma":0.00407668,"domain_scores_codex":[0.9994479,0.00005655897,0.00001992341,0.0001209491,0.0002929824,0.00006173506],"domain_scores_gemma":[0.9992329,0.0001253809,0.00002872512,0.0001176533,0.0003550985,0.0001402471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001765259,0.00003415793,0.00007919841,0.0001362943,0.000001966633,0.00004962144,0.0001749973,0.0001333879,0.0003749433,0.05824468,0.7828409,0.1579121],"study_design_scores_gemma":[0.000001129475,0.000003927132,0.00003952571,0.00004746153,5.152706e-7,0.00003304623,0.00002937301,0.00002011362,0.0000446252,0.003543674,0.9962346,0.000001956997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003023592,0.002880519,0.005588377,0.002880236,0.003597956,0.000125495,0.001459665,0.0008098753,0.9823555],"genre_scores_gemma":[0.001066748,0.001768269,0.001844207,0.001182658,0.0005831501,0.00006525084,0.001011508,0.0002371683,0.992241],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4181716,"threshold_uncertainty_score":0.5964711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821252908216832,"score_gpt":0.262595780496453,"score_spread":0.2443832514142847,"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."}}