{"id":"W4328015249","doi":"10.4095/329829","title":"Water resources characterization and modelling","year":2021,"lang":"en","type":"report","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Characterization (materials science); Environmental science; Computer science; Materials science; Nanotechnology","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":[0.0008756889,0.0006236185,0.000619327,0.001536709,0.0006547771,0.001256471,0.001030807,0.0006598787,0.006408362],"category_scores_gemma":[0.001420429,0.0003889752,0.0007611731,0.003188349,0.0002509414,0.001449709,0.0005574041,0.0006264643,0.003394747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002013973,"about_ca_system_score_gemma":0.003999347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1741641,"about_ca_topic_score_gemma":0.1624165,"domain_scores_codex":[0.999345,0.0001307378,0.00002771785,0.00006928929,0.0003304195,0.00009673261],"domain_scores_gemma":[0.9993093,0.0001346144,0.00003802649,0.0001710734,0.0003064224,0.00004065114],"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":[0.000375986,0.0004641323,0.02625989,0.0002294842,0.00007053531,0.0001763443,0.0001847462,0.5952054,0.009334988,0.02270421,0.1191511,0.2258432],"study_design_scores_gemma":[0.00005703864,0.00008938061,0.03209753,0.00005745804,0.00004593506,0.0001120892,0.0003116519,0.7696705,0.02632585,0.012784,0.1583654,0.00008312405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1905178,0.0009590784,0.2453624,0.00202643,0.0002774537,0.001800875,0.2788766,0.005344642,0.2748347],"genre_scores_gemma":[0.4977804,0.001500308,0.1391606,0.000174691,0.00006816514,0.001722253,0.2240187,0.001369479,0.1342053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1741641,"threshold_uncertainty_score":0.3463008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383111540320304,"score_gpt":0.2219230273486239,"score_spread":0.1980919119454209,"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."}}