{"id":"W6969116791","doi":"10.5446/58503","title":"Mapping Rural Communities with the Canadian Red Cross Missing Maps Pilot","year":2019,"lang":"en","type":"other","venue":"TIB KMO / FLOWWORKS GmbH","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Preparedness; Digital mapping; Emergency management; Order (exchange); Disaster preparedness; Rural area; Digital divide","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002850482,0.0004637317,0.0006295148,0.0003208633,0.0004977511,0.0002768014,0.0004261422,0.0003453828,0.001791036],"category_scores_gemma":[0.0000154676,0.0003157836,0.0001132506,0.0002573181,0.0003171265,0.00004223831,0.0001013294,0.001191989,0.0002616707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332915,"about_ca_system_score_gemma":0.0006150033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2604991,"about_ca_topic_score_gemma":0.5994201,"domain_scores_codex":[0.9983633,0.00008148972,0.0002723035,0.0002224639,0.0003690623,0.0006914511],"domain_scores_gemma":[0.9982004,0.00009864004,0.000169447,0.001140469,0.00009750202,0.0002935224],"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":[0.0006517716,0.0001949213,0.03264871,0.002133811,0.005305239,0.000337313,0.008968488,0.0001102898,0.0001516983,0.0005449128,0.9051409,0.04381197],"study_design_scores_gemma":[0.001707596,0.0002030605,0.00307788,0.005750959,0.0004117335,0.0001424728,0.001757098,0.0002279112,0.000004176428,0.00001209589,0.9861109,0.0005941516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003886874,0.02092338,0.0001689453,0.007301236,0.000978131,0.001665128,0.0001183119,0.0004145943,0.9645434],"genre_scores_gemma":[0.3535907,0.0001723664,0.0006857415,0.001893292,0.0007771008,0.00003174917,0.0003764488,0.0007143758,0.6417583],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3497038,"threshold_uncertainty_score":0.9999294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029155553438328,"score_gpt":0.2679724693571804,"score_spread":0.2376809138227972,"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."}}