{"id":"W4237968886","doi":"10.3137/ao.450103","title":"Thirty-Five Year (1971-2005) Simulation of Daily Soil Moisture Using the Variable Infiltration Capacity Model over China","year":2007,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Infiltration (HVAC); Environmental science; China; Water content; Soil science; Moisture; Variable (mathematics); Hydrology (agriculture); Geotechnical engineering; Mathematics; Geography; Geology; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005434774,0.0006197506,0.0004185327,0.0004094231,0.0004214094,0.0004970147,0.0008943962,0.0006215149,0.001079596],"category_scores_gemma":[0.0006932529,0.0002960254,0.0006755707,0.000545346,0.0004776284,0.000496176,0.0004127286,0.000398148,0.0001426247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002252028,"about_ca_system_score_gemma":0.001662715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1916355,"about_ca_topic_score_gemma":0.1111082,"domain_scores_codex":[0.99985,0.00003234011,0.000008485335,0.00004067127,0.00002124745,0.00004727318],"domain_scores_gemma":[0.9997322,0.00005926312,0.0000397925,0.00002976188,0.00007327167,0.00006572266],"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":[0.00007245188,0.00005266404,0.02485687,0.0000135955,0.00003876908,0.0001246022,0.00003998998,0.971824,0.0008212101,0.0003467483,0.000381339,0.001427808],"study_design_scores_gemma":[0.00003783377,0.00002725438,0.01587736,0.000002430023,0.00001261903,0.000008323643,0.00002031963,0.9833739,0.0003370473,0.00008107732,0.0002100831,0.00001170048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969653,0.00003291206,0.001048044,0.0000701357,0.000008801219,0.00001165009,0.0007484545,0.00007826031,0.001036378],"genre_scores_gemma":[0.9984536,0.00002414751,0.0004908843,0.000007243278,0.000001902875,0.00001119448,0.0007364536,0.000007612683,0.0002668587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1916355,"threshold_uncertainty_score":0.3810402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382048170511116,"score_gpt":0.2363053148919096,"score_spread":0.2224848331867984,"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."}}