{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004849745,0.0006756912,0.0002555889,0.001327773,0.00792685,0.00307474,0.001550053,0.000933803,0.01119293],"category_scores_gemma":[0.006217272,0.0003498209,0.0003413762,0.002125287,0.001847117,0.001413862,0.004447972,0.001800393,0.002318067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02005879,"about_ca_system_score_gemma":0.06098355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9652753,"about_ca_topic_score_gemma":0.9860178,"domain_scores_codex":[0.9965253,0.0007152477,0.00004827077,0.0002893629,0.001369278,0.001052616],"domain_scores_gemma":[0.9933073,0.0005777194,0.00008990416,0.0004518659,0.00419124,0.001381941],"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":[0.0007318818,0.0007046165,0.02069924,0.0004744494,0.00005387408,0.001760522,0.05322818,0.002090306,0.008469207,0.01386959,0.5979377,0.2999805],"study_design_scores_gemma":[0.0001236687,0.0002717059,0.03282491,0.0002499764,0.00003071501,0.0002368946,0.05041373,0.001415274,0.002473739,0.001912464,0.9099058,0.0001410992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3732629,0.001885045,0.02711242,0.05300423,0.002117407,0.004177893,0.03437513,0.005518635,0.4985463],"genre_scores_gemma":[0.6942514,0.002481993,0.08466527,0.00814632,0.0001984369,0.002951998,0.01903339,0.001494615,0.1867765],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03472471,"threshold_uncertainty_score":0.1455374,"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."}}