{"id":"W2603227181","doi":"10.35502/jcswb.39","title":"Data opportunities and risks: the dynamic of public, personal, and commercial interest","year":2017,"lang":"en","type":"article","venue":"Journal of Community Safety and Well-Being","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Saskatchewan","funders":"","keywords":"Public interest; Business; Internet privacy; Risk analysis (engineering); Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01885014,0.0001133307,0.0003609052,0.000143788,0.002047441,0.0009624588,0.002566167,0.00004779384,0.000043811],"category_scores_gemma":[0.002490927,0.00007114936,0.00004701477,0.00005176859,0.00105298,0.001877062,0.003641163,0.0006253728,0.000001098935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001044317,"about_ca_system_score_gemma":0.00004561562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004252027,"about_ca_topic_score_gemma":0.002249263,"domain_scores_codex":[0.9971247,0.001431697,0.0007255282,0.00009826575,0.000477128,0.000142668],"domain_scores_gemma":[0.9946916,0.002587863,0.00106937,0.001319175,0.0002061554,0.0001258502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003078849,0.0001806113,0.01280476,0.00009157302,0.0002746266,0.00001850003,0.01852753,0.000001627961,0.00001938809,0.03523763,0.007732424,0.9248034],"study_design_scores_gemma":[0.001208821,0.0002882083,0.4521325,0.0002469676,0.0001588513,0.0001680442,0.1140077,0.001603893,0.00000711134,0.06841421,0.3615623,0.0002014611],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9272322,0.0007070919,0.003230493,0.05929864,0.0002486921,0.000097761,0.0001197186,0.000004145686,0.009061234],"genre_scores_gemma":[0.9915111,0.007534705,0.000143197,0.0006027726,0.00004185642,1.942273e-7,0.00001161438,0.000004667317,0.0001498799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.924602,"threshold_uncertainty_score":0.9992518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5241872281998107,"score_gpt":0.4611656499565048,"score_spread":0.0630215782433059,"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."}}