{"id":"W1980317104","doi":"10.1109/congress.2009.29","title":"Research Data in Google Earth: How Do We Protect Privacy and Meet Ethical Obligations?","year":2009,"lang":"en","type":"article","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Confidentiality; Identification (biology); Computer science; Information privacy; Globe; Obligation; Global Positioning System; Internet privacy; Data science; Computer security; Political science; Telecommunications; 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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3275889,0.001155329,0.002978423,0.007145538,0.02266714,0.03769586,0.01000092,0.01588173,0.003947909],"category_scores_gemma":[0.4196212,0.00179357,0.001844258,0.01551473,0.0803614,0.03797037,0.01746868,0.02803994,0.002563841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04057505,"about_ca_system_score_gemma":0.1705097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5293164,"about_ca_topic_score_gemma":0.4422314,"domain_scores_codex":[0.6700961,0.2201533,0.01360989,0.009458668,0.07482085,0.01186122],"domain_scores_gemma":[0.4500811,0.3436699,0.01790906,0.07175986,0.09777756,0.01880247],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001367849,0.00006964064,0.005311544,0.0007070153,0.0001194852,0.0005295537,0.07152312,0.0008529266,0.00047348,0.615234,0.2210016,0.0840409],"study_design_scores_gemma":[0.00009090244,0.00004385993,0.00329755,0.002601737,0.00006373099,0.000456456,0.04254819,0.001248449,0.0009092216,0.2581182,0.6903324,0.0002894703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002857108,0.003802511,0.02642258,0.9465057,0.001872775,0.0002377638,0.0005373545,0.00015562,0.01760859],"genre_scores_gemma":[0.2732961,0.01736385,0.1618383,0.5188206,0.004402216,0.002747673,0.0024039,0.0008831202,0.01824411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9841183,"threshold_uncertainty_score":0.9469112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1454473042779017,"score_gpt":0.4292136328594787,"score_spread":0.283766328581577,"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."}}