{"id":"W2136209984","doi":"10.3390/ijgi4031389","title":"A Volunteered Geographic Information Framework to Enable Bottom-Up Disaster Management Platforms","year":2015,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Volunteered geographic information; Metadata; Computer science; Social media; World Wide Web; Citizen science; Component (thermodynamics); Data science; Information retrieval","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002627135,0.0002286936,0.0003022095,0.00190711,0.0003820955,0.0009108002,0.0009664452,0.0001897171,0.0001196042],"category_scores_gemma":[0.0008623529,0.0002027596,0.0002042828,0.0007640275,0.0001185891,0.01718655,0.0002043791,0.0003623157,0.001076273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004983649,"about_ca_system_score_gemma":0.0002143706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006680125,"about_ca_topic_score_gemma":0.00007907399,"domain_scores_codex":[0.994882,0.00004963789,0.001690576,0.00007913038,0.002856183,0.0004425096],"domain_scores_gemma":[0.9937257,0.00009033163,0.001384486,0.0002124996,0.004217291,0.0003696921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001209867,0.0001141665,0.0226071,0.0001455849,0.001357942,0.00001376731,0.4344266,0.003483515,0.000002179565,0.3388584,0.1061632,0.09161765],"study_design_scores_gemma":[0.00174022,0.0001621319,0.005566395,0.0002895565,0.00004884932,0.00004454998,0.1240632,0.0002547507,0.00001626414,0.01297423,0.8544975,0.0003423462],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3182199,0.0002032633,0.3608803,0.01843551,0.04229537,0.003317889,0.0002835283,0.0004350953,0.2559292],"genre_scores_gemma":[0.9889746,0.0001603995,0.006486184,0.003223516,0.0005950372,0.00005085416,0.00009650605,0.000008553989,0.0004043037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7483343,"threshold_uncertainty_score":0.9997015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175897604205763,"score_gpt":0.3015765689394176,"score_spread":0.2839868085188413,"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."}}