{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002952815,0.0003119465,0.0003694399,0.00006512766,0.0002381977,0.0002074268,0.00102481,0.0005308806,0.1247454],"category_scores_gemma":[0.0001249016,0.0003299019,0.0002788629,0.0001234617,0.0001858555,0.000002826402,0.001521813,0.0005682203,0.0003582641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042223,"about_ca_system_score_gemma":0.0002499612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003537354,"about_ca_topic_score_gemma":0.003584381,"domain_scores_codex":[0.9972953,0.0001345845,0.0003288871,0.0009410938,0.0005454514,0.0007546921],"domain_scores_gemma":[0.9983463,0.00001617756,0.00006702805,0.001210409,0.0001274166,0.0002326267],"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":[0.000168217,0.0001167279,0.00001538236,0.0001198257,0.00009068485,0.00003663072,0.000004504968,5.10087e-7,0.03789141,7.588927e-8,0.9602882,0.001267874],"study_design_scores_gemma":[0.0004614929,0.0003543178,0.00003187837,0.00001476875,0.00004743993,0.00002335927,0.00000864391,4.50376e-7,0.06492724,0.00002293736,0.9336435,0.000463985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008886266,0.000553295,0.000001244201,0.0002450526,0.0006222373,0.0003902677,0.9885102,0.00001786651,0.0007735717],"genre_scores_gemma":[0.0007790953,0.0006046873,0.0000125018,0.0007438488,0.0008709338,0.0002073219,0.9564828,0.00004993019,0.04024889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1243872,"threshold_uncertainty_score":0.9999153,"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."}}