{"id":"W2516748800","doi":"","title":"New Insights into Catchment Heterogeneities and Spatial Patterns II","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geography; Drainage basin; Geology; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059234,0.0002074772,0.0005663637,0.001829735,0.0004660537,0.002722675,0.0005338902,0.0005081323,0.003985621],"category_scores_gemma":[0.004611432,0.0004129626,0.0005273746,0.002725399,0.001689685,0.004229836,0.001092863,0.000869239,0.0003220426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009819813,"about_ca_system_score_gemma":0.0004348611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006488146,"about_ca_topic_score_gemma":0.008331668,"domain_scores_codex":[0.9995995,0.0001010611,0.00002294196,0.0001454295,0.00007283449,0.00005818829],"domain_scores_gemma":[0.9975765,0.0015287,0.0002878852,0.0003412261,0.0001525655,0.0001131204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003012983,0.0001451837,0.5151005,0.0002325536,0.0002813832,0.0009530062,0.005184801,0.04393457,0.0139853,0.2232963,0.005705324,0.19088],"study_design_scores_gemma":[0.00001680261,0.00002981163,0.6495342,0.00004254957,0.00007266691,0.0006114242,0.004073408,0.1088474,0.0006397372,0.2272733,0.008817683,0.00004092065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8760839,0.002312614,0.09716829,0.002955455,0.00005741203,0.00004162697,0.0009852535,0.0001795895,0.02021581],"genre_scores_gemma":[0.9909388,0.000582302,0.006546745,0.0000989323,0.0001321784,0.00001982682,0.0003000162,0.00006026245,0.001320875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006488146,"threshold_uncertainty_score":0.0133332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00728767568014575,"score_gpt":0.205856597192838,"score_spread":0.1985689215126923,"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."}}