{"id":"W2011207851","doi":"10.1029/2012eo140026","title":"Model investigation overthrows assumptions of watershed research","year":2012,"lang":"en","type":"article","venue":"Eos","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Flood myth; Deforestation (computer science); Hydrology (agriculture); Return period; Environmental science; Hydrological modelling; Period (music); Geography; Physical geography; Climatology; Geology; Archaeology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005410984,0.0000438172,0.00005691492,0.00003476576,0.000137805,0.000002908368,0.00008725669,0.00003285025,0.0004140961],"category_scores_gemma":[0.00002344053,0.0000359476,0.00001710313,0.0001019267,0.0002972827,0.0002213494,0.0001872533,0.00007597046,0.0006153538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003416419,"about_ca_system_score_gemma":0.000001473242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009730554,"about_ca_topic_score_gemma":0.00003320708,"domain_scores_codex":[0.9993449,0.0000634245,0.00008640347,0.00009284573,0.000181247,0.0002312026],"domain_scores_gemma":[0.9997864,0.00002228655,0.00001321044,0.000128473,0.000004665535,0.00004499616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001185385,0.0001064634,0.8924713,0.00001333077,0.00002683328,4.423651e-7,0.005850185,0.00783642,0.03502516,0.002620839,0.05533849,0.0006986883],"study_design_scores_gemma":[0.0005383057,0.0001249594,0.8587233,0.00001717568,0.00004617142,0.000001420076,0.0005295711,0.04332329,0.04393495,0.02760455,0.02480385,0.0003524507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747611,0.00001738174,0.0005312736,0.001494519,0.00004310557,0.0001194811,0.000001297387,0.0000166365,0.02301525],"genre_scores_gemma":[0.9972854,0.00001275497,0.0007943219,0.0001427049,0.0000170796,0.00002069628,0.000004149846,0.000003782962,0.001719143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03548687,"threshold_uncertainty_score":0.7909334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117147308874295,"score_gpt":0.3239047363783687,"score_spread":0.2121900054909391,"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."}}