{"id":"W4377969545","doi":"10.1109/icoei56765.2023.10125738","title":"Computer Vision based Avalanche Monitoring and Warning System","year":2023,"lang":"en","type":"article","venue":"","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Typhoon; Warning system; Computer science; Early warning system; Tourism; Process (computing); Computer security; EPIC; Risk analysis (engineering); Business; Geography; Meteorology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003108504,0.0004341434,0.0005858182,0.001406522,0.0003629615,0.0007085894,0.0006721232,0.000767175,0.003085174],"category_scores_gemma":[0.0006218789,0.0002440312,0.0003585431,0.0007317142,0.0001733649,0.0008006304,0.0005657845,0.00055753,0.0009549423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003728141,"about_ca_system_score_gemma":0.0006784674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177403,"about_ca_topic_score_gemma":0.002299947,"domain_scores_codex":[0.9996681,0.00003379768,0.00002415457,0.00009408275,0.000128351,0.00005144113],"domain_scores_gemma":[0.9996995,0.00003584315,0.00003360736,0.00002576201,0.0001765854,0.00002872305],"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":[0.0007141912,0.0005259875,0.006282432,0.0003151538,0.00007375823,0.000428081,0.0001904115,0.04772226,0.1867529,0.002312061,0.01514348,0.7395392],"study_design_scores_gemma":[0.0000880629,0.0005294817,0.01368942,0.00003769827,0.000089005,0.0005554092,0.0001381292,0.929823,0.04265618,0.001969105,0.01034126,0.00008337969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1446487,0.0009869464,0.8243648,0.0005049952,0.0003017082,0.0004586793,0.0006641225,0.01151254,0.01655752],"genre_scores_gemma":[0.8234308,0.0007311138,0.1630812,0.000346796,0.0001031727,0.0002559565,0.00103537,0.0000776989,0.0109378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003177403,"threshold_uncertainty_score":0.0103209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796370692548226,"score_gpt":0.2497763912908936,"score_spread":0.2318126843654114,"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."}}