{"id":"W6898908639","doi":"10.58052/ieagr00au","title":"2020-12-10-Yukon-kit-51-archive Grab Liquid>aqueous river water","year":2020,"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":[0.0006838408,0.001579469,0.001916502,0.0005944215,0.0004293414,0.0004124769,0.001021117,0.001030774,0.006648099],"category_scores_gemma":[0.0003643384,0.001371187,0.0009960649,0.0004236143,0.000463594,0.0002873667,0.0001877827,0.0006050228,0.01831396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213177,"about_ca_system_score_gemma":0.0005675395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003814852,"about_ca_topic_score_gemma":0.008443834,"domain_scores_codex":[0.9924012,0.0006486045,0.001724346,0.002197469,0.001476373,0.001551957],"domain_scores_gemma":[0.9950263,0.0003687082,0.001633363,0.001977014,0.0003082472,0.0006863689],"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":[0.001040077,0.0001287298,0.00002109648,0.003586105,0.0007771005,0.0001354168,0.0007388167,0.00006802266,0.001975682,0.004024723,0.9870759,0.0004283005],"study_design_scores_gemma":[0.002136388,0.001001838,0.00001933397,0.001129706,0.000422151,0.0001600332,0.0002696761,0.0005033853,0.001945176,0.0002613545,0.990572,0.00157897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003003725,0.002498931,0.06985436,0.001097483,0.005300473,0.0207366,0.07590877,0.009146245,0.8151568],"genre_scores_gemma":[0.02309958,0.0001201807,0.01743423,0.0002409544,0.008107987,0.001933989,0.04514654,0.006464588,0.8974519],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08229519,"threshold_uncertainty_score":0.9996954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272558962173913,"score_gpt":0.2460723467601393,"score_spread":0.2233467571384002,"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."}}