{"id":"W7072709998","doi":"","title":"Yukon and Kuskokwim River basins, Alaska : interim water resources study","year":2016,"lang":"en","type":"other","venue":"US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Water resources; Hydrology (agriculture); Water quality; Interim; Work (physics); Water cycle; Natural resource; Water pollution","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":[0.0002846428,0.000254565,0.0002234311,0.001020267,0.001274799,0.0008528043,0.0004865665,0.0004929065,0.003617163],"category_scores_gemma":[0.0004420986,0.0003131605,0.0002967655,0.001954483,0.0003022833,0.0007246116,0.0007920658,0.0002501894,0.0007492533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001711637,"about_ca_system_score_gemma":0.005438945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3902749,"about_ca_topic_score_gemma":0.760325,"domain_scores_codex":[0.9998994,0.000008870869,0.0000107135,0.00002304919,0.00003143785,0.00002651524],"domain_scores_gemma":[0.9998649,0.0000135188,0.00001840918,0.00001667293,0.00005919744,0.00002720931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005667399,0.0001934426,0.8781379,0.0004242788,0.0002338007,0.001017806,0.006639996,0.002864264,0.002640656,0.003631444,0.02410281,0.07954694],"study_design_scores_gemma":[0.00002137237,0.00003542112,0.9501703,0.0001852336,0.0001130465,0.000261773,0.01043625,0.0007699546,0.001226974,0.0006658326,0.03609028,0.00002354879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9505119,0.0005570826,0.0005160783,0.0001916477,0.00002130115,0.00006897291,0.01369469,0.00008655985,0.03435178],"genre_scores_gemma":[0.9331127,0.001366363,0.003561014,0.0001038416,0.000009251594,0.0001942256,0.01879186,0.0000651985,0.04279544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3902749,"threshold_uncertainty_score":0.7760064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05596111133993531,"score_gpt":0.3220702023071239,"score_spread":0.2661090909671885,"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."}}