{"id":"W3016438115","doi":"","title":"The use of social media and mobile device applications to disseminate natural hazard information by Natural Resources Canada","year":2011,"lang":"en","type":"article","venue":"AGUFM","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dissemination; Natural (archaeology); Social media; Internet privacy; Information Dissemination; Natural hazard; Natural resource; Natural disaster; Hazard; Computer science; Business; Political science; World Wide Web; Geography; Biology; Telecommunications; Ecology","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":[0.001432739,0.0001650942,0.0001254236,0.002385946,0.004420638,0.002714931,0.0007542716,0.000501477,0.00405423],"category_scores_gemma":[0.008236569,0.0002193082,0.0001819871,0.002895133,0.0008134747,0.0007828701,0.001089449,0.0006179169,0.0004292357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02602304,"about_ca_system_score_gemma":0.06279614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922421,"about_ca_topic_score_gemma":0.9955244,"domain_scores_codex":[0.9986773,0.000267178,0.00005626459,0.0001045741,0.0006864,0.0002081329],"domain_scores_gemma":[0.9926746,0.002506794,0.0004935138,0.0001976324,0.003286242,0.0008412836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003276002,0.000505941,0.4803874,0.0005295675,0.0001386128,0.0008913475,0.08655795,0.001838138,0.005673869,0.005691911,0.06188554,0.355572],"study_design_scores_gemma":[0.00005179133,0.000182914,0.7094961,0.0003497011,0.0001404128,0.0001898478,0.1020214,0.004701949,0.003242974,0.0006535921,0.1788363,0.0001332222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9187872,0.001490775,0.0006666359,0.007644783,0.00008679841,0.0002401869,0.002765907,0.0001358198,0.06818206],"genre_scores_gemma":[0.975865,0.001238714,0.001160391,0.0004536259,0.00001581536,0.00004026947,0.0004190601,0.00002656933,0.02078053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02602304,"threshold_uncertainty_score":0.1888112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854699037942378,"score_gpt":0.2499322282230987,"score_spread":0.2313852378436749,"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."}}