{"id":"W4248178748","doi":"10.4018/978-1-60566-060-8.ch165","title":"Ethical, Cultural and Socio-Economic Factors of Software Piracy Determinants in a Developing Country","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Poverty; Empirical research; Developing country; Software; Norm (philosophy); Political science; Public relations; Economic growth; Computer science; Economics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007963777,0.0001714206,0.0001906166,0.0008592268,0.001551521,0.001430205,0.0002374149,0.0003158191,0.003570569],"category_scores_gemma":[0.003354196,0.0001868688,0.0002502486,0.001074935,0.001531484,0.0008739254,0.001051062,0.0008217511,0.0002884095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006693617,"about_ca_system_score_gemma":0.0009824276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298571,"about_ca_topic_score_gemma":0.01936354,"domain_scores_codex":[0.9995142,0.0002231984,0.00002904233,0.00004150936,0.00007435808,0.0001177036],"domain_scores_gemma":[0.99636,0.001770606,0.0009886899,0.0001100805,0.0002436954,0.0005269095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002791168,0.0002148504,0.9824746,0.00002692817,0.00001532941,0.0004473152,0.006517811,0.00008654891,0.0001375179,0.0006984852,0.0003144802,0.009038261],"study_design_scores_gemma":[0.000002338948,0.0000618899,0.9768683,0.00005516589,0.00001553383,0.0003035337,0.02109519,0.0002862573,0.00008025442,0.0002649385,0.0009581579,0.000008383032],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970698,0.0001403508,0.00005647666,0.00020219,0.000003223818,0.00000718166,0.00002042488,0.000001104297,0.002499204],"genre_scores_gemma":[0.9993094,0.0002550633,0.00008193655,0.00002654282,0.000003251321,0.000004883991,0.00001623022,9.552978e-7,0.0003017307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01298571,"threshold_uncertainty_score":0.02582026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518577430144947,"score_gpt":0.2736404738347872,"score_spread":0.2484546995333378,"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."}}