{"id":"W2989795767","doi":"","title":"The Effect of Forest Structure on Snow Hydrology in the Canadian Rocky Mountains","year":2008,"lang":"en","type":"article","venue":"AGUFM","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Hydrology (agriculture); Physical geography; Snowmelt; Forestry; Geology; Environmental science; Geography; Geomorphology","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":[0.0001147401,0.00005672602,0.00007548726,0.00001246178,0.0004970865,0.000008388438,0.0001776019,0.00003361041,0.0001268472],"category_scores_gemma":[0.00007201908,0.00002597273,0.00002391569,0.0001604781,0.00008998976,0.00001877957,0.000003153571,0.00009985244,0.00001928173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005417103,"about_ca_system_score_gemma":0.00003581756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.519311,"about_ca_topic_score_gemma":0.9919046,"domain_scores_codex":[0.9995151,0.00006066767,0.00007801029,0.00007284169,0.00009649074,0.0001768948],"domain_scores_gemma":[0.9992326,0.000573321,0.0000245989,0.0001330538,0.000007929764,0.00002843607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001133167,8.624956e-7,0.9786023,0.000001061373,0.000005638792,0.000008952552,0.000344112,0.01741844,3.18451e-7,0.000121122,0.0009723895,0.002513433],"study_design_scores_gemma":[0.0001020125,0.0002047628,0.9754483,0.000001784739,0.000003199529,0.000007207649,0.00008520859,0.002487709,0.000005401636,0.000163786,0.02145984,0.00003077801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947963,0.0003154753,4.70429e-7,0.001469194,0.0001276755,0.0001230863,0.00002689864,0.00000237123,0.003138498],"genre_scores_gemma":[0.9992668,0.00005406789,0.000004961889,0.000533436,0.00004676709,0.000001293196,0.00001851383,0.000001000199,0.00007318295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4725936,"threshold_uncertainty_score":0.48389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009959792373799698,"score_gpt":0.1969773614430712,"score_spread":0.1870175690692715,"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."}}