{"id":"W2616815649","doi":"","title":"The Indian Information Technology Act and Spamming","year":2006,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spamming; Computer science; World Wide Web; Data science; Library science; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001356011,0.00004283935,0.00006158614,0.00007086321,0.0004986835,0.0001649773,0.0003125625,0.00004853049,0.000005217451],"category_scores_gemma":[0.0002024285,0.00002428658,0.00001440642,0.00009683508,0.0002132808,0.0003760588,0.0001131291,0.0002425251,0.000001818036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002452996,"about_ca_system_score_gemma":0.00002188985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002224767,"about_ca_topic_score_gemma":0.001423792,"domain_scores_codex":[0.9994491,0.0001203666,0.0001735342,0.00002498684,0.0001245508,0.0001074098],"domain_scores_gemma":[0.9994941,0.0001482029,0.0002036566,0.00008053855,0.00005480363,0.00001864453],"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":[0.000148247,0.00002698892,0.03240349,0.00001939528,0.00005008093,0.000003754328,0.05708436,0.000005326807,0.0001063164,0.05938477,0.009315447,0.8414518],"study_design_scores_gemma":[0.0008649321,0.0003537544,0.06321841,0.0002938709,0.00006998285,0.0005023914,0.04309273,0.0002586517,0.000887288,0.1472186,0.7429876,0.0002517888],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800709,0.0008467416,0.001698218,0.01434283,0.0001872217,0.00006465323,6.425648e-7,0.00001379062,0.002774993],"genre_scores_gemma":[0.9988723,0.0007280745,0.0000583456,0.0001488374,0.0001323322,5.427513e-7,3.383592e-7,0.000001698312,0.00005755111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8412001,"threshold_uncertainty_score":0.3835521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090114085148252,"score_gpt":0.2594769672230527,"score_spread":0.2485758263715702,"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."}}