{"id":"W4233794349","doi":"10.32920/14639427.v1","title":"Exploring the Boundaries of Web Map Services: The Example of the Online Injury Atlas for Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Toronto Metropolitan University","funders":"Natural Resources Canada","keywords":"Geospatial analysis; License; Business; Confidentiality; Government (linguistics); Geocoding; Public health; Data science; Private sector; Computer security; Computer science; Geography; Cartography; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001048886,0.0003062568,0.0002253044,0.001353335,0.003728086,0.003272761,0.0007484793,0.0007928987,0.004325386],"category_scores_gemma":[0.003376675,0.0002152448,0.0004079657,0.005223457,0.001972947,0.001798101,0.002074404,0.0005084058,0.0008460359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01674628,"about_ca_system_score_gemma":0.01898302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9549215,"about_ca_topic_score_gemma":0.97464,"domain_scores_codex":[0.99898,0.0001713351,0.00004111512,0.0001164246,0.0004432001,0.0002478512],"domain_scores_gemma":[0.9973672,0.0005432648,0.0001004765,0.000425368,0.001052824,0.0005109279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008454857,0.0001695834,0.1366009,0.0012515,0.0001376665,0.006243262,0.05626169,0.02776772,0.01460944,0.1646414,0.3285951,0.2628763],"study_design_scores_gemma":[0.00004371001,0.00004310024,0.06069921,0.000179303,0.0000488495,0.0003860452,0.01549699,0.02760128,0.003538327,0.009671926,0.882173,0.0001182953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.5110652,0.001790486,0.06534279,0.03385103,0.0006714452,0.0007985503,0.05434285,0.01057725,0.3215604],"genre_scores_gemma":[0.8703427,0.00151919,0.05808906,0.0006957758,0.00009923494,0.0001222561,0.02373151,0.0008278231,0.04457233],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04507852,"threshold_uncertainty_score":0.1215034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08813342284313312,"score_gpt":0.2919287372398139,"score_spread":0.2037953143966808,"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."}}