{"id":"W6898880286","doi":"10.58052/ieagr003y","title":"2019-07-26-Yukon-kit-43-archive Grab Liquid>aqueous river water","year":2019,"lang":"en","type":"other","venue":"System for Earth Sample Registration (SESAR)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Water resources; Work (physics); Water quality; Shore","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001161435,0.001608157,0.001980047,0.00101884,0.0003745994,0.0004175118,0.001075666,0.001270622,0.002336282],"category_scores_gemma":[0.0002225634,0.001356391,0.0009971202,0.0003209644,0.0004503455,0.0003820787,0.0001695158,0.0006268517,0.07836908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003966654,"about_ca_system_score_gemma":0.0006358404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009229275,"about_ca_topic_score_gemma":0.005944618,"domain_scores_codex":[0.9922326,0.0006373316,0.001707108,0.002123208,0.001521914,0.00177782],"domain_scores_gemma":[0.9938139,0.0004539565,0.001880068,0.002907416,0.000470559,0.0004741078],"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":[0.0007698279,0.0001725102,0.00005192819,0.00390812,0.0007907118,0.00004447408,0.0006126472,0.0001217209,0.002066789,0.009676524,0.9813631,0.0004216917],"study_design_scores_gemma":[0.002477711,0.0008628361,0.00003579228,0.001640536,0.0003882802,0.0001713047,0.0002432249,0.0002838228,0.001744992,0.000275384,0.9901606,0.001715506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008808024,0.003715895,0.08600143,0.0004970059,0.01037317,0.02999135,0.06617463,0.01028303,0.7920827],"genre_scores_gemma":[0.01760883,0.00008661978,0.00782447,0.00009939469,0.003704564,0.001020027,0.01688571,0.005736619,0.9470338],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1549511,"threshold_uncertainty_score":0.9996666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01942357114085237,"score_gpt":0.2506725120324035,"score_spread":0.2312489408915511,"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."}}