{"id":"W7098790682","doi":"","title":"Hydrologic Analysis of P l a i n s Runoff Water Survey of Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Surface runoff; Hydrology (agriculture); Hydrological modelling; Water cycle; Water resources; Water balance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0001188871,0.0001500772,0.0001637274,0.001463756,0.001159467,0.0005659889,0.0003745915,0.0001846618,0.00174812],"category_scores_gemma":[0.0004027743,0.0001332507,0.0001848989,0.002531878,0.0002680595,0.0001315776,0.0002717193,0.0002479756,0.0002108611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01361112,"about_ca_system_score_gemma":0.01617241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944575,"about_ca_topic_score_gemma":0.9978964,"domain_scores_codex":[0.9998482,0.000005555487,0.000005914451,0.00002759167,0.00006313526,0.00004939487],"domain_scores_gemma":[0.9995452,0.00002005403,0.00003174637,0.000008530206,0.000296122,0.00009839865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001428218,0.00007057805,0.9500986,0.00005541146,0.00006909615,0.0002973871,0.001503181,0.003924041,0.00919665,0.0007753642,0.006290209,0.02757669],"study_design_scores_gemma":[0.000003234464,0.000006340774,0.9939606,0.0000057795,0.000008664539,0.00002015355,0.0005109918,0.001504074,0.00052822,0.00002587594,0.003419803,0.000006248044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875474,0.00009550719,0.0002758005,0.0001277268,0.000004010245,0.0000215067,0.00724048,0.00005865784,0.004628956],"genre_scores_gemma":[0.9902331,0.0001681627,0.0005100958,0.00004395967,0.000002561958,0.00001190634,0.003972653,0.00001608885,0.00504142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361112,"threshold_uncertainty_score":0.09875607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872345257131815,"score_gpt":0.1842049179204386,"score_spread":0.1654814653491204,"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."}}