{"id":"W6936498758","doi":"10.58052/ieagr003t","title":"2018-07-12-Yukon-kit-38-archive Grab Liquid>aqueous river water","year":2018,"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":[0.001262152,0.001600458,0.001774549,0.0009859577,0.0005499683,0.0004307339,0.001081928,0.001253881,0.006184216],"category_scores_gemma":[0.0002846768,0.001344247,0.0009025518,0.0002891787,0.0008569292,0.0003586223,0.0001726049,0.0004452144,0.05908548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421517,"about_ca_system_score_gemma":0.0005326131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006050076,"about_ca_topic_score_gemma":0.01265822,"domain_scores_codex":[0.9922136,0.0006460747,0.001727701,0.002109792,0.001490591,0.001812222],"domain_scores_gemma":[0.9940287,0.0003495976,0.001843655,0.002715077,0.0005016212,0.0005613812],"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":[0.0007665249,0.0001662368,0.00005174455,0.00262703,0.0007180796,0.0000449457,0.0006637871,0.00001805649,0.001277223,0.003985809,0.9893861,0.0002944089],"study_design_scores_gemma":[0.002043355,0.001165306,0.00003035264,0.001594466,0.000364183,0.0001941111,0.0002571653,0.0002239363,0.002148867,0.0004472668,0.9898963,0.001634703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000739107,0.0011207,0.08931131,0.0002354027,0.007647832,0.01536018,0.0357892,0.006027268,0.843769],"genre_scores_gemma":[0.01560824,0.00006568751,0.01393429,0.00008301633,0.007782579,0.001396644,0.01882105,0.004707461,0.937601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09383203,"threshold_uncertainty_score":0.9996743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772051306159871,"score_gpt":0.2572559951251611,"score_spread":0.2295354820635624,"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."}}