{"id":"W6936348774","doi":"10.58052/ieagr00av","title":"2021-01-19-Yukon-kit-52-archive Grab Liquid>aqueous river water","year":2021,"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":[0.00111424,0.001536938,0.001949069,0.0009065566,0.0005068214,0.000491625,0.0008676502,0.001168792,0.008879108],"category_scores_gemma":[0.0004469409,0.001363864,0.001069618,0.0005442037,0.0004804157,0.0002333685,0.0001951399,0.0006430668,0.006277991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004554676,"about_ca_system_score_gemma":0.0009518357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008602875,"about_ca_topic_score_gemma":0.01641599,"domain_scores_codex":[0.9919001,0.0008708358,0.001735732,0.002274761,0.001522203,0.001696398],"domain_scores_gemma":[0.9942127,0.0004819589,0.001555198,0.002606415,0.0004944354,0.0006492866],"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":[0.0007459006,0.0003044766,0.00006254067,0.006603129,0.00137297,0.0003131438,0.001052203,0.0001514979,0.004998332,0.01074709,0.9727363,0.0009124017],"study_design_scores_gemma":[0.002057437,0.0005105421,0.00002606089,0.002035113,0.0003893813,0.0002866924,0.0005394842,0.000248816,0.002817907,0.0003258144,0.9891363,0.001626486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007111461,0.008474883,0.1199324,0.0006528774,0.007848656,0.01855637,0.05802216,0.004387464,0.7814141],"genre_scores_gemma":[0.01826753,0.0002220838,0.01898406,0.0001700323,0.006791998,0.001998736,0.06368214,0.005048902,0.8848345],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1034204,"threshold_uncertainty_score":0.9997379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605667267776744,"score_gpt":0.2645987232210685,"score_spread":0.2385420505433011,"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."}}