{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008573266,0.001230552,0.0008100707,0.002329488,0.001374007,0.002049227,0.001778403,0.001524372,0.5757152],"category_scores_gemma":[0.001935885,0.0009135808,0.0005994618,0.001739933,0.0004681317,0.001509565,0.002003225,0.0006929903,0.5446262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002032195,"about_ca_system_score_gemma":0.003576086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06242356,"about_ca_topic_score_gemma":0.1153485,"domain_scores_codex":[0.9993638,0.00005911064,0.00004861873,0.0001415452,0.0002463738,0.0001404983],"domain_scores_gemma":[0.998863,0.0001487935,0.00006582866,0.0002404558,0.0005633748,0.0001186506],"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":[0.000279052,0.00008538765,0.002031854,0.0004589187,0.00002306655,0.00006223018,0.0001300718,0.0004353279,0.00426266,0.002605519,0.9316182,0.05800761],"study_design_scores_gemma":[0.00008741071,0.00002525342,0.002728285,0.00005867767,0.000009492964,0.00003643282,0.00009656669,0.0007161597,0.004488499,0.001123166,0.9905888,0.00004123658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004937736,0.0002132248,0.01151271,0.0004848458,0.0002513799,0.0007941884,0.6332031,0.04905718,0.2995456],"genre_scores_gemma":[0.01957283,0.0003060046,0.02087272,0.0009826953,0.00005653128,0.00143199,0.5653895,0.02960768,0.36178],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4242848,"threshold_uncertainty_score":0.6051908,"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."}}