{"id":"W3123630684","doi":"10.5204/mcj.2314","title":"Dr Aycock's Bad Idea","year":2005,"lang":"en","type":"article","venue":"M/C Journal","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analogy; Computer virus; Liberian dollar; Test (biology); Computer science; Computer security; Business; Internet privacy; Law and economics; Sociology; Epistemology; Philosophy; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000284954,0.00008979242,0.0001053016,0.00006253082,0.0003435338,0.0002083297,0.0005066743,0.0000230536,0.0002276524],"category_scores_gemma":[0.00001649739,0.00007069734,0.00008083755,0.0001206487,0.00002062659,0.0005398958,0.0001729953,0.0001917659,0.0003982204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004897798,"about_ca_system_score_gemma":0.00003409678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001561843,"about_ca_topic_score_gemma":0.00002345297,"domain_scores_codex":[0.9991049,0.00002428262,0.0002107207,0.0001246453,0.0002645164,0.0002709964],"domain_scores_gemma":[0.9995605,0.0000256127,0.00005961874,0.0001998803,0.00005677129,0.0000975595],"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":[0.00001149063,0.000126826,0.002580862,0.000005108126,0.0001181866,0.00009025679,0.002559408,0.0005271749,0.0009637187,0.1471602,0.3268528,0.519004],"study_design_scores_gemma":[0.000446283,0.00008302076,0.007479564,0.00001763383,0.000008449386,0.0002861912,0.00003746267,0.002181223,0.001236223,0.002476654,0.9855773,0.0001700046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07513666,0.003152486,0.5638925,0.03409361,0.002193501,0.0001593308,0.000001360485,0.0002804127,0.3210901],"genre_scores_gemma":[0.9770038,0.0002146433,0.01144907,0.002441407,0.001106754,0.000002341521,2.974922e-7,0.000007413471,0.007774311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9018671,"threshold_uncertainty_score":0.5118451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764391490085055,"score_gpt":0.2644081483430406,"score_spread":0.2467642334421901,"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."}}