{"id":"W2056546125","doi":"10.3138/qp47-7743-1162-2675","title":"Introduction: Issues of Privacy Protection and Analysis of Public Health Data","year":2004,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Realm; Variety (cybernetics); Data science; Information privacy; Theme (computing); Focus (optics); Privacy by Design; Geographic information system; Internet privacy; Computer science; Engineering ethics; Political science; World Wide Web; Engineering; Geography; Remote sensing","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":[],"consensus_categories":[],"category_scores_codex":[0.005159133,0.0001226808,0.0002891563,0.002147997,0.000934996,0.0003057483,0.0004977885,0.00008421786,0.00001588535],"category_scores_gemma":[0.0008278529,0.00009808183,0.0001488349,0.002099816,0.0005628706,0.002290392,0.0001339498,0.000122102,3.621653e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003882823,"about_ca_system_score_gemma":0.0001865842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412246,"about_ca_topic_score_gemma":0.0006317652,"domain_scores_codex":[0.997593,0.0001490145,0.001063108,0.0001359239,0.000846749,0.0002122149],"domain_scores_gemma":[0.9958472,0.00008164116,0.00138046,0.0002512251,0.002337116,0.0001023731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001192508,0.0001471827,0.06660087,0.0002220835,0.004758517,1.86239e-7,0.1104007,0.001043609,0.00002913012,0.7388068,0.001283693,0.07658789],"study_design_scores_gemma":[0.002482777,0.0004018049,0.1312119,0.0001419722,0.0006499424,0.00005148277,0.06356667,0.004210175,0.00004621675,0.01541207,0.7814172,0.0004077782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4818574,0.003576035,0.3191853,0.1869811,0.003888531,0.003164512,0.0006364356,0.0001604165,0.0005501588],"genre_scores_gemma":[0.9914151,0.006924458,0.0005680447,0.0003131641,0.0002741918,0.00003005636,0.0004524343,0.00000504318,0.00001745114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7801335,"threshold_uncertainty_score":0.7191328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06793470979515195,"score_gpt":0.3718139245165931,"score_spread":0.3038792147214412,"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."}}