{"id":"W3090102406","doi":"10.5194/egusphere-egu2020-6524","title":"On the exploration of alternative spatial representation for land models; a vector-based setup for the Variable Infiltration Capacity model","year":2020,"lang":"en","type":"article","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Context (archaeology); Computer science; Land cover; Digital elevation model; Representation (politics); Surface runoff; Variable (mathematics); Land use; Mathematics; Remote sensing; Geography","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":[0.001793078,0.0008868876,0.0007817049,0.0006319116,0.0006395854,0.002637966,0.00247657,0.001698141,0.007087789],"category_scores_gemma":[0.004509855,0.0004714035,0.001260406,0.001005509,0.001748774,0.003237065,0.002327975,0.002815597,0.0009906325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001952424,"about_ca_system_score_gemma":0.001376768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01227743,"about_ca_topic_score_gemma":0.01020908,"domain_scores_codex":[0.9990916,0.0006271015,0.00002523469,0.00009772104,0.0001073016,0.00005103994],"domain_scores_gemma":[0.9986306,0.0008229808,0.0001338344,0.0001679318,0.0001392842,0.0001053749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001865017,0.00001970628,0.0003012699,0.00004081535,0.00001513505,0.00005219124,0.00006333397,0.3297877,0.0002453534,0.661167,0.001684909,0.006603967],"study_design_scores_gemma":[0.000005361058,0.000009785486,0.00005826701,0.00001805927,0.000003338625,0.00001073823,0.0000207287,0.8627395,0.0000561453,0.1336657,0.003400601,0.00001173408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01433222,0.00116499,0.951843,0.004124519,0.0001380253,0.00004277194,0.0006228327,0.0002186166,0.02751314],"genre_scores_gemma":[0.7115824,0.002561126,0.2603908,0.001266068,0.0004445812,0.000433433,0.001290256,0.0005628175,0.02146854],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01227743,"threshold_uncertainty_score":0.02441192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098137650827602,"score_gpt":0.2638956483615491,"score_spread":0.154081883278789,"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."}}