{"id":"W2233432124","doi":"10.2139/ssrn.2154952","title":"Skills and Trust: A Tour Inside the Hard Drives of Computer Hackers","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hacker; Advertising; Computer science; Psychology; Business; Internet privacy; Computer security; Human–computer interaction; Multimedia","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":[],"consensus_categories":[],"category_scores_codex":[0.001762402,0.0004790953,0.0004158886,0.001374226,0.01050358,0.01135457,0.0008055169,0.00365265,0.008643638],"category_scores_gemma":[0.00552345,0.0004169306,0.0003941382,0.001719564,0.0137079,0.01798402,0.005779085,0.009283473,0.001130597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003749891,"about_ca_system_score_gemma":0.003989217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483176,"about_ca_topic_score_gemma":0.06002287,"domain_scores_codex":[0.9981171,0.0011793,0.00002462482,0.00007729056,0.0001830241,0.0004187623],"domain_scores_gemma":[0.9944503,0.00261423,0.0003801208,0.000194679,0.0004545074,0.001906209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001661249,0.0002463357,0.01175627,0.0002519289,0.00003758531,0.001132289,0.608454,0.0002205513,0.0005423814,0.08206302,0.2134765,0.08165301],"study_design_scores_gemma":[0.00001080579,0.00006712153,0.01023473,0.0005811478,0.000008767687,0.000465303,0.7098656,0.0001729456,0.0001373992,0.03640045,0.2420097,0.0000460113],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2706425,0.04762715,0.001597831,0.5545514,0.002646382,0.00003260685,0.000207418,0.00009222099,0.1226024],"genre_scores_gemma":[0.9064541,0.01889804,0.0007625115,0.02994106,0.0008627884,0.00003393524,0.0000643502,0.0001387777,0.04284438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02483176,"threshold_uncertainty_score":0.0493744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008055827256453525,"score_gpt":0.2304959186759747,"score_spread":0.2224400914195211,"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."}}