{"id":"W131430558","doi":"","title":"WHICH OBS FOR WHICH AVALANCHE TYPE","year":2010,"lang":"en","type":"article","venue":"DORA WSL (Swiss Federal Institute for Forest, Snow and Landscape Research)","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Terrain; Storm; Meteorology; Geology; Geography; Physical geography; Cartography","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":[0.001266692,0.0002853149,0.0003344832,0.0001082429,0.001257328,0.0003913048,0.0004476452,0.0004140844,0.0006178014],"category_scores_gemma":[0.000563635,0.00020263,0.0001110318,0.0006226276,0.0003143915,0.0004740142,0.0003043004,0.0007630099,0.0001672808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000502882,"about_ca_system_score_gemma":0.0001109827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007715554,"about_ca_topic_score_gemma":0.02550847,"domain_scores_codex":[0.9974503,0.0000474188,0.0003188032,0.0006558986,0.000526853,0.001000725],"domain_scores_gemma":[0.9986094,0.0002307391,0.00007246085,0.0004235703,0.0002312195,0.0004326457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003880916,0.0009519201,0.2027789,0.0007069114,0.0004604299,0.00005097387,0.001553477,0.002569469,0.008907102,0.09201496,0.610458,0.0756669],"study_design_scores_gemma":[0.003127832,0.001013536,0.02542076,0.00007997311,0.00004904175,0.00007728644,0.0001590922,0.02182157,0.0006830628,0.01517768,0.9317084,0.0006818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401848,0.000396465,0.001456415,0.005134401,0.001734697,0.002383642,0.0002457491,0.0001760806,0.04828772],"genre_scores_gemma":[0.9926996,0.0003130346,0.001792765,0.00008784475,0.0005123917,0.0001401489,0.0004480586,0.00005660655,0.003949542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3212503,"threshold_uncertainty_score":0.9922734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330980107654909,"score_gpt":0.3149383448458143,"score_spread":0.2818403340803234,"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."}}