{"id":"W2912391045","doi":"","title":"Infrasound detection of avalanches: operational experience from 28 combined winter seasons and future developments","year":2018,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infrasound; Meteorology; Geology; Environmental science; Remote sensing; Geography; Acoustics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495192,0.0001487601,0.0002043514,0.00005920315,0.001110211,0.0002130553,0.0001423618,0.00009280103,0.000322506],"category_scores_gemma":[0.0001083826,0.0001146595,0.0000380024,0.0002379895,0.0004433395,0.0004322899,0.00005634712,0.0001364881,0.00001033703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008425231,"about_ca_system_score_gemma":0.00007932549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002100053,"about_ca_topic_score_gemma":0.02820642,"domain_scores_codex":[0.9988153,0.00003990027,0.0001900034,0.0003202191,0.0003055601,0.0003290389],"domain_scores_gemma":[0.9992226,0.0001863117,0.00005399466,0.0001287995,0.0002550773,0.0001532128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005149738,0.00004431484,0.9577602,0.00005167146,0.0001139236,0.00000384638,0.002892746,0.00005321596,0.0001592192,0.0008217967,0.006397519,0.0311866],"study_design_scores_gemma":[0.00089074,0.0004216069,0.8433562,0.00004474371,0.000009272025,0.000005397166,0.001962477,0.005291243,0.0001867799,0.0009416886,0.1467133,0.0001765338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956098,0.001200886,0.0007014332,0.0006370089,0.0003909009,0.0003555017,0.0002751287,0.00002135394,0.0008080272],"genre_scores_gemma":[0.9967302,0.0005649562,0.001276397,0.0001005512,0.0005519285,0.0000173124,0.0005127457,0.00000592036,0.0002399621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1403158,"threshold_uncertainty_score":0.9895263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300163538144806,"score_gpt":0.2926399076329492,"score_spread":0.2496382722515011,"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."}}