{"id":"W2592440695","doi":"","title":"Global cobweb Cybercrimes in the borderless world A comparative perspective with special reference to U S A Canada and India","year":2004,"lang":"en","type":"dissertation","venue":"Shodhganga","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Political science; Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001322522,0.0003538771,0.0004246142,0.0001248716,0.0002387907,0.0001920409,0.0007023244,0.00006323398,0.00001415293],"category_scores_gemma":[0.00001766233,0.0002472246,0.00002911509,0.001055224,0.00005512295,0.0001294906,0.0001059538,0.0003094262,0.000004954581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007067766,"about_ca_system_score_gemma":0.00148076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8036908,"about_ca_topic_score_gemma":0.9989009,"domain_scores_codex":[0.9981592,0.00008315181,0.0002400321,0.0005899041,0.0005541166,0.0003736189],"domain_scores_gemma":[0.9992466,0.00009417126,0.00008991514,0.0003084212,0.0001776964,0.00008319505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003429639,0.000149192,0.005156235,0.00007340068,0.0002296478,0.0002647977,0.1180583,0.00007940851,0.000003374891,0.8561344,0.01655464,0.002953671],"study_design_scores_gemma":[0.001319691,0.0003967163,0.8858154,0.0005324578,0.00009396765,0.00002497092,0.07420316,0.00001223433,0.0001193083,0.00546031,0.03084143,0.0011804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.359565,0.0008126533,0.0001946129,0.001092591,0.0004776182,0.001302098,0.00009137436,0.00004895419,0.6364151],"genre_scores_gemma":[0.9964713,0.00001830038,0.0003993177,0.0009211559,0.0001627813,0.0001038841,0.00006214518,0.000009079388,0.001851976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8806591,"threshold_uncertainty_score":0.999998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191486632014032,"score_gpt":0.295681903657985,"score_spread":0.2765332404565818,"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."}}