{"id":"W4403828614","doi":"10.2139/ssrn.4960389","title":"The Corporate Challenges of Conforming to Data Privacy Laws: Balancing User Data Rights and Corporate Innovation","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Business; Internet privacy; Information privacy; Law and economics; Computer science; Economics","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":[0.04857016,0.000277957,0.0009434519,0.002143639,0.009429241,0.03216344,0.002410987,0.02260444,0.005612602],"category_scores_gemma":[0.09807347,0.0005580319,0.0009309691,0.002742788,0.0499013,0.02500836,0.01048596,0.01860335,0.0006831748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006818715,"about_ca_system_score_gemma":0.01556451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004664049,"about_ca_topic_score_gemma":0.004015868,"domain_scores_codex":[0.9587555,0.0233845,0.001232134,0.003560902,0.008773483,0.004293464],"domain_scores_gemma":[0.8186776,0.1464486,0.01129513,0.01184293,0.006981749,0.004753922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002249698,0.00004675454,0.001190242,0.00002280017,0.00001137894,0.00007364709,0.002162431,0.0003465971,0.0001466953,0.9858306,0.002934361,0.00721195],"study_design_scores_gemma":[0.00003237719,0.00003242762,0.001662254,0.000185972,0.00002155877,0.0001128168,0.004261158,0.001190846,0.0004722285,0.9647552,0.02723407,0.0000390802],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1147596,0.003811273,0.01996402,0.6064462,0.0004655683,0.00008286219,0.00008617923,0.00004680258,0.2543375],"genre_scores_gemma":[0.9718792,0.001116316,0.002145266,0.02051699,0.0007022308,0.00009558156,0.00001647682,0.00002761947,0.003500313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04857016,"threshold_uncertainty_score":0.2568667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09656300400893442,"score_gpt":0.3318000732812393,"score_spread":0.2352370692723049,"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."}}