{"id":"W2337429091","doi":"10.1177/0309133315625863","title":"Dendrogeomorphic reconstruction of snow avalanche regime and triggering weather conditions","year":2016,"lang":"en","type":"article","venue":"Progress in Physical Geography Earth and Environment","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Snowpack; Snow; Environmental science; Logistic regression; Meteorology; Regression; Climatology; Geography; Statistics; Geology; Mathematics","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":[0.00008669037,0.0001176978,0.000164401,0.00004410059,0.0000566167,0.000009189429,0.00005000098,0.00005671508,0.0002897746],"category_scores_gemma":[0.000002853287,0.00007376341,0.00005541205,0.00008422677,0.000789722,0.0001138486,0.00008167921,0.00008027084,0.00002050278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009665106,"about_ca_system_score_gemma":0.000001476857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001429712,"about_ca_topic_score_gemma":0.000002775061,"domain_scores_codex":[0.9992025,0.0000317148,0.0001474839,0.0002644422,0.0001511748,0.0002026399],"domain_scores_gemma":[0.9996696,0.00003906432,0.0000656668,0.000129718,0.000001301879,0.00009467376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002233004,0.00009853615,0.6696804,0.000007192825,0.00001952621,0.000003288981,0.00008483127,0.00001473829,0.001127816,0.00009820233,0.000004767704,0.3288383],"study_design_scores_gemma":[0.0009951819,0.0001771443,0.9887818,0.0001163019,0.00003216336,0.00003472908,0.00003117626,0.0002516156,0.004338174,0.003577919,0.001471445,0.0001924263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998597,0.0004581485,0.0000317645,0.0001928399,0.00002792534,0.0001488541,0.00001207867,0.00001249854,0.0005189362],"genre_scores_gemma":[0.9984539,0.001163466,0.0002736102,0.000008549883,0.0000195965,0.00002755744,0.000001940789,0.000007697635,0.00004374326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3286459,"threshold_uncertainty_score":0.3172829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004750900161176762,"score_gpt":0.1939806673713988,"score_spread":0.189229767210222,"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."}}