{"id":"W4220782249","doi":"10.1002/9781118786352.wbieg2043","title":"GeoAI and Its Implications","year":2022,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geospatial analysis; Data science; Geographic information system; Transferability; Big data; Geomatics; Computer science; Software; Inclusion (mineral); Geography; Predictive power; Cartography; Sociology; Data mining; Social science; Machine learning; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248618,0.0004757266,0.0004042444,0.002057279,0.003506208,0.008247468,0.001153408,0.004130263,0.04426812],"category_scores_gemma":[0.01006697,0.0001554722,0.0003274382,0.002419172,0.01246218,0.009421018,0.005103712,0.006071203,0.007104988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005286035,"about_ca_system_score_gemma":0.004354821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01367371,"about_ca_topic_score_gemma":0.01232551,"domain_scores_codex":[0.9979392,0.0008978778,0.0000711958,0.0003392963,0.0005048367,0.0002476354],"domain_scores_gemma":[0.996749,0.001505474,0.0001325466,0.0003697985,0.0007930403,0.0004500866],"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":[0.000007217677,0.000004594175,0.000168024,0.00003891104,0.000001629268,0.00005347657,0.000416071,0.00009206234,0.00001302153,0.894545,0.08886468,0.01579539],"study_design_scores_gemma":[0.000002004615,0.000002882797,0.0002147064,0.0002104187,0.000001381035,0.00009789467,0.0007142773,0.00007792379,0.000022865,0.192816,0.8058344,0.0000052972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002229051,0.03944897,0.003184878,0.4207587,0.01023196,0.00001468234,0.0005201192,0.00009221838,0.5235194],"genre_scores_gemma":[0.3224654,0.1105931,0.004920823,0.1813758,0.02509168,0.0001667281,0.001267678,0.0006077271,0.353511],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04426812,"threshold_uncertainty_score":0.1480917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007423577779617358,"score_gpt":0.2680215817836383,"score_spread":0.2605980040040209,"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."}}