{"id":"W2028162951","doi":"10.1007/s11069-015-1709-7","title":"Navigating the future of tsunami risk communication: using dimensionality, interactivity and situatedness to interface with society","year":2015,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Interactivity; Geovisualization; Situated; Usability; Visualization; Computer science; Interface (matter); Interactive visualization; Human–computer interaction; Data science; Information visualization; Multimedia; Data mining; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.001661791,0.00008653673,0.0001503733,0.0000118441,0.0007166438,0.0000603395,0.0002086473,0.0000569828,0.00000222668],"category_scores_gemma":[0.0001342355,0.0000527413,0.00004218104,0.0003860925,0.0003525446,0.0003516147,0.0002392943,0.0004126003,0.000001461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008486972,"about_ca_system_score_gemma":0.00008898565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005875097,"about_ca_topic_score_gemma":0.004137418,"domain_scores_codex":[0.9988473,0.0002673008,0.0001855169,0.0000960672,0.0004666911,0.0001371111],"domain_scores_gemma":[0.9986279,0.0001988864,0.0002340325,0.0001909979,0.0006879562,0.00006022578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000131518,0.00004629161,0.08104176,0.00005878514,0.0002826942,4.979364e-7,0.8609124,0.0006615674,0.0001455941,0.004779977,0.00207332,0.04986553],"study_design_scores_gemma":[0.0009433335,0.0001141708,0.03996668,0.0007100679,0.00009481113,0.00001983839,0.9275066,0.007767685,0.0003522318,0.001475706,0.02059172,0.0004572093],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933894,0.001371874,0.0001665002,0.003936463,0.0002898518,0.0002434758,0.000007932735,0.00002747816,0.0005670729],"genre_scores_gemma":[0.9977208,0.0000444564,0.001979542,0.0001387183,0.00007495225,0.000005285434,0.000001777285,0.000003864336,0.00003056301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06659408,"threshold_uncertainty_score":0.8881429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496199044270845,"score_gpt":0.3586159735791842,"score_spread":0.3336539831364758,"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."}}