{"id":"W3123588273","doi":"","title":"Snowmelt processes and modelling in NW Canada","year":2004,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snowmelt; Environmental science; Geography; Snow; Geology; Meteorology","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":[0.0002699155,0.0003880981,0.0004291005,0.0007106964,0.002355623,0.002459701,0.001353362,0.0007316881,0.002917834],"category_scores_gemma":[0.0009963799,0.0004495597,0.0007276522,0.001617362,0.0007928265,0.0009240113,0.0004960494,0.0007156606,0.0002261664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03634965,"about_ca_system_score_gemma":0.03055531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979831,"about_ca_topic_score_gemma":0.9972603,"domain_scores_codex":[0.9998426,0.00001105692,0.000007668913,0.00002619712,0.0000454484,0.00006700741],"domain_scores_gemma":[0.9996341,0.000061705,0.00002275527,0.00001245175,0.0002024951,0.00006644204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001576275,0.00008698402,0.05432278,0.00006410234,0.00007783838,0.0002068945,0.000537004,0.9143475,0.001556958,0.008741776,0.004920338,0.0149802],"study_design_scores_gemma":[0.00002514674,0.000009884242,0.02334795,0.00001680375,0.00002352805,0.00001454164,0.0006079571,0.9678845,0.0005259063,0.001953827,0.005549671,0.00004034342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741333,0.0008442427,0.005148998,0.001062451,0.00004841829,0.00005349918,0.002885467,0.0002304703,0.01559297],"genre_scores_gemma":[0.9861363,0.0005337131,0.002085584,0.00004313289,0.000006598514,0.00001684496,0.0009310936,0.00005877592,0.01018809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03634965,"threshold_uncertainty_score":0.2637364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008124161954645576,"score_gpt":0.1893826381044889,"score_spread":0.1812584761498433,"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."}}