{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001309235,0.0003567803,0.0003839162,0.002249617,0.0007658402,0.001872816,0.0007705813,0.0005774832,0.1412716],"category_scores_gemma":[0.006240697,0.0002323795,0.000723477,0.002201204,0.0003682201,0.001882185,0.0009092374,0.0007875605,0.04108246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007905926,"about_ca_system_score_gemma":0.001005345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007786642,"about_ca_topic_score_gemma":0.01506029,"domain_scores_codex":[0.9992133,0.00008407111,0.00007176193,0.0001951679,0.0002711728,0.0001644733],"domain_scores_gemma":[0.9951931,0.000827699,0.0006635967,0.0008316572,0.001553093,0.0009307921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007765954,0.0002954827,0.15207,0.001110733,0.0001322791,0.0004357876,0.001264091,0.0006572918,0.004807974,0.01172288,0.2822772,0.5444497],"study_design_scores_gemma":[0.0001063966,0.0003010233,0.2346111,0.0005123951,0.0001223477,0.001275063,0.00284598,0.001579134,0.003449411,0.01004315,0.7450576,0.0000963131],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2116403,0.006261338,0.0256364,0.012372,0.003389851,0.0009899626,0.09681007,0.01047664,0.6324235],"genre_scores_gemma":[0.5483149,0.00641018,0.02570772,0.005433138,0.0008686889,0.0005709581,0.0634234,0.002686595,0.3465844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1412716,"threshold_uncertainty_score":0.4726006,"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."}}