{"id":"W6929388258","doi":"10.48511/447a-9k21","title":"LLC VOW 10 (WTN 66814)","year":2022,"lang":"en","type":"dataset","venue":"Columbia Basin Water Hub","topic":"Cancer and biochemical research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Structural basin; Hydrology (agriculture); Groundwater resources","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":[0.0007214408,0.001526971,0.001339683,0.003023598,0.001007957,0.002279032,0.002855125,0.001587279,0.128118],"category_scores_gemma":[0.004613878,0.0006080496,0.0008159555,0.008178018,0.0003525704,0.001322851,0.001886977,0.001578778,0.1578603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001778596,"about_ca_system_score_gemma":0.003562385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09018236,"about_ca_topic_score_gemma":0.1604422,"domain_scores_codex":[0.9990695,0.0001433905,0.00009000791,0.0002831022,0.0002382698,0.0001756509],"domain_scores_gemma":[0.9981791,0.0003687341,0.0001623087,0.000393183,0.0006503118,0.0002464678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002728248,0.000007441236,0.0003304168,0.000177601,0.000009259153,0.00000634363,0.000007161363,0.00009488645,0.00003655527,0.0002187444,0.9981384,0.0009458816],"study_design_scores_gemma":[0.0001681069,0.00001083975,0.003019747,0.000191598,0.00001833732,0.00002471112,0.00005859408,0.0002971326,0.0001753982,0.0007913522,0.995226,0.00001808463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005271607,0.00002180945,0.00001946945,0.00002874261,0.000008320824,0.000003579571,0.9992379,0.0001009265,0.0005265173],"genre_scores_gemma":[0.0001641256,0.00002065082,0.00006809545,0.00002667185,0.000003143241,0.00002388796,0.9989958,0.00003822497,0.0006593098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.128118,"threshold_uncertainty_score":0.4285975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139105996896789,"score_gpt":0.2698203454069627,"score_spread":0.2584292854379948,"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."}}