{"id":"W7133333426","doi":"10.58052/ieagr00l6","title":"2013-03-22-Yukon-kit-6-archive Grab Liquid>aqueous river water","year":2013,"lang":"","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002955294,0.00444831,0.004698327,0.002206673,0.001864632,0.001911629,0.002539184,0.003117024,0.02289408],"category_scores_gemma":[0.0006301143,0.003899853,0.002774177,0.000942292,0.002045154,0.0015589,0.0004769469,0.001674105,0.1444886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239039,"about_ca_system_score_gemma":0.001605588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01966322,"about_ca_topic_score_gemma":0.008373564,"domain_scores_codex":[0.9786252,0.002337569,0.005594618,0.005180172,0.003374542,0.004887894],"domain_scores_gemma":[0.9834784,0.001359447,0.005433782,0.005706827,0.002195586,0.001825998],"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":[0.004405974,0.001518877,0.0001792938,0.01929124,0.005037322,0.0002274304,0.004461381,0.00118122,0.0128934,0.03616763,0.9114379,0.003198392],"study_design_scores_gemma":[0.005731121,0.003138857,0.0001114697,0.004177073,0.001456232,0.0006486826,0.001168886,0.004612742,0.005496866,0.0009130994,0.9677876,0.004757337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01182412,0.01042266,0.287662,0.001742503,0.02342444,0.09374405,0.103967,0.007487849,0.4597253],"genre_scores_gemma":[0.154251,0.0006629952,0.02334136,0.0002140624,0.01032947,0.007244555,0.03702629,0.008175425,0.7587548],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2990295,"threshold_uncertainty_score":0.9994348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115203072703112,"score_gpt":0.2456432619615658,"score_spread":0.2244912312345347,"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."}}