{"id":"W2027873599","doi":"10.1139/l04-110","title":"Apport de la technique du krigeage avec dérive externe pour une cartographie raisonnée de l'équivalent en eau de la neige : Application aux bassins de la rivière Gatineau","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kriging; Digital elevation model; Snow; Elevation (ballistics); Geology; Geomorphology; Hydrology (agriculture); Mathematics; Remote sensing; Statistics; Geometry; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001298108,0.0007351306,0.0005997579,0.0007334841,0.0003385751,0.0006503785,0.0005502667,0.0006208902,0.002575188],"category_scores_gemma":[0.003790577,0.0004701698,0.0008794579,0.0009100661,0.0004849327,0.0004804021,0.0005135072,0.001168635,0.001275882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004045606,"about_ca_system_score_gemma":0.0009330863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01541543,"about_ca_topic_score_gemma":0.01733249,"domain_scores_codex":[0.9996132,0.0001153672,0.00002229541,0.00009143522,0.0001287918,0.00002887205],"domain_scores_gemma":[0.9990661,0.0005698858,0.00003634354,0.0000946521,0.0002167398,0.00001635918],"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":[0.000193817,0.0000918917,0.005473923,0.0003165522,0.000147209,0.0002684669,0.0005236134,0.1987367,0.06556663,0.0101457,0.001696224,0.7168393],"study_design_scores_gemma":[0.00007634414,0.0001544761,0.008402856,0.00004825791,0.00006642643,0.0004389462,0.0001378764,0.9268017,0.03251668,0.003729703,0.02754568,0.00008117047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0161697,0.0001154171,0.9827182,0.00004105346,0.00002385105,0.00003356106,0.00008294387,0.0004334386,0.0003818706],"genre_scores_gemma":[0.05602228,0.0001716682,0.9416425,0.00001446682,0.00001391364,0.00007893516,0.000148341,0.0001520775,0.001755901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845846,"threshold_uncertainty_score":0.03065139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005599588588427571,"score_gpt":0.2084073269113424,"score_spread":0.2028077383229148,"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."}}