{"id":"W4404649843","doi":"10.48550/arxiv.2411.13546","title":"Promoting User Data Autonomy During the Dissolution of a Monopolistic Firm","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada; Canadian Institute for Advanced Research","keywords":"Monopolistic competition; Autonomy; Business; Industrial organization; Dissolution; Economics; Microeconomics; Political science; Chemical engineering; Engineering; Monopoly","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02666553,0.0005114512,0.000938306,0.0009460688,0.00185859,0.004533041,0.003662388,0.001831644,0.001766044],"category_scores_gemma":[0.1281474,0.000877935,0.0008520217,0.001167637,0.005771035,0.01113723,0.01213151,0.005322803,0.000707731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039972,"about_ca_system_score_gemma":0.002270126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670767,"about_ca_topic_score_gemma":0.00185673,"domain_scores_codex":[0.9829312,0.01101423,0.0007966895,0.002006992,0.00218323,0.001067782],"domain_scores_gemma":[0.835503,0.09085246,0.005078529,0.05967822,0.004275282,0.004612527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004841405,0.001704414,0.1263106,0.0007971769,0.0004747073,0.002377769,0.03837522,0.07845438,0.05607479,0.2066251,0.01208459,0.4718798],"study_design_scores_gemma":[0.0003833679,0.0009316058,0.01671419,0.0001936938,0.000141126,0.001355694,0.006222776,0.5923029,0.05356435,0.2943068,0.03366437,0.000219241],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6186497,0.0002842716,0.361832,0.006795825,0.0000569662,0.0003075855,0.0001790248,0.003102594,0.008792205],"genre_scores_gemma":[0.9598743,0.00004964758,0.03843644,0.0003987003,0.00002634697,0.00008644904,0.0001344175,0.0001597268,0.0008340028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02666553,"threshold_uncertainty_score":0.1410224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.156821040576865,"score_gpt":0.2323366194340879,"score_spread":0.07551557885722288,"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."}}