{"id":"W3121267947","doi":"","title":"Geographical Information as 'Personal Information'","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Context (archaeology); Key (lock); The Internet; Geography; Personally identifiable information; Data science; Internet privacy; Business; World Wide Web; Computer science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008585425,0.0001506559,0.0001728285,0.0008319294,0.000495607,0.0009572332,0.0006205826,0.0001649703,0.0003798477],"category_scores_gemma":[0.001913986,0.0001117274,0.0002223314,0.0008974696,0.000106824,0.005129618,0.00004424715,0.002632753,0.001574081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007451934,"about_ca_system_score_gemma":0.001387325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007948585,"about_ca_topic_score_gemma":0.000418469,"domain_scores_codex":[0.9957103,0.00008435996,0.0009080724,0.0001353382,0.001794395,0.001367519],"domain_scores_gemma":[0.9980233,0.0002060624,0.0004668192,0.0002521355,0.0008752187,0.0001764963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008755657,0.00003350226,0.006162528,0.000001632349,0.00005073163,5.055925e-7,0.001066244,0.0001376649,0.0001015781,0.5540913,0.0009133948,0.4373534],"study_design_scores_gemma":[0.00070259,0.0001941689,0.004285184,0.000004484938,0.00001827343,0.0007997415,0.006800755,0.01085762,0.00001360731,0.9003034,0.07581117,0.0002090387],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141925,0.00007745439,0.06849114,0.003296873,0.001047202,0.0001170407,0.000006835986,0.00006994702,0.012701],"genre_scores_gemma":[0.9981286,0.0003468959,0.0003131522,0.0007598959,0.0001701739,0.000005511082,0.00001882367,0.000005401839,0.0002515772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4371443,"threshold_uncertainty_score":0.9996682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01740789680969922,"score_gpt":0.3062716457572626,"score_spread":0.2888637489475634,"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."}}