{"id":"W2262288151","doi":"","title":"Citizens as Sensors for Natural Hazards: A VGI integration Workflow","year":2010,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volunteered geographic information; Workflow; Natural hazard; Natural (archaeology); Geography; Geomatics; Citizen science; Cartography; Computer science; Environmental planning; Database; Archaeology; Meteorology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004106059,0.001476716,0.001615666,0.005410573,0.002572765,0.009900377,0.002989966,0.002108637,0.008932124],"category_scores_gemma":[0.004589646,0.00141823,0.003109406,0.006043831,0.001000074,0.005391623,0.006857618,0.001740091,0.007444288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829902,"about_ca_system_score_gemma":0.004551339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220715,"about_ca_topic_score_gemma":0.02375857,"domain_scores_codex":[0.9982252,0.0002509628,0.0002594451,0.0003934279,0.0006607565,0.0002102889],"domain_scores_gemma":[0.9982159,0.0003297731,0.0001216464,0.0006344243,0.0005048289,0.0001935285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003229839,0.0005487606,0.01402093,0.00112925,0.0004557371,0.00278454,0.008705455,0.03704283,0.01636084,0.1169272,0.1127509,0.6889506],"study_design_scores_gemma":[0.000112655,0.0001042797,0.008942671,0.000821559,0.0004186152,0.00098564,0.007447451,0.1694279,0.02336878,0.2080425,0.580045,0.0002829663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005815251,0.0003871748,0.9290916,0.001121237,0.0001003519,0.001327405,0.01031838,0.02519681,0.02664173],"genre_scores_gemma":[0.03771383,0.000797098,0.9289292,0.0002359604,0.00003648954,0.0005464354,0.01899945,0.002291802,0.01044978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02220715,"threshold_uncertainty_score":0.04415578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008390190358535728,"score_gpt":0.2456700978023346,"score_spread":0.2372799074437989,"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."}}