{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002039826,0.0001091176,0.0001417764,0.00005762988,0.0002294861,0.00007627473,0.0003010406,0.00007952393,0.00003373077],"category_scores_gemma":[0.0004527759,0.00008730848,0.00007412818,0.0001361982,0.00008434519,0.0001597266,0.0000771885,0.0001898501,0.0002242213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005717093,"about_ca_system_score_gemma":0.00003542544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001213797,"about_ca_topic_score_gemma":0.0000481149,"domain_scores_codex":[0.9992318,0.00002556896,0.0001507093,0.0002210729,0.0001118444,0.0002589999],"domain_scores_gemma":[0.9992245,0.0002577123,0.00004771703,0.0003292612,0.00009445237,0.00004631721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004736524,0.00009275191,0.0004184975,0.00004440749,0.0001463716,0.00003297246,0.007638718,0.00004302849,0.002906089,0.402458,0.02356515,0.5626066],"study_design_scores_gemma":[0.001665045,0.0004437158,0.03726421,0.0001038951,0.00006363378,0.0003660639,0.0005408704,0.381411,0.01003603,0.5249941,0.04216992,0.0009414376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7963564,0.00008119558,0.183483,0.011222,0.002933897,0.0003823478,0.000003797244,0.0003280895,0.005209157],"genre_scores_gemma":[0.8870196,0.000002636643,0.1108802,0.0008858162,0.0001359165,0.00003895644,0.000004021273,0.000005171901,0.001027679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5616652,"threshold_uncertainty_score":0.3560337,"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."}}