{"id":"W6899008590","doi":"10.58052/ieagr00an","title":"2022-05-02-Yukon-kit-48-archive Grab Liquid>aqueous river water","year":2022,"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":[0.001439634,0.001499769,0.001750142,0.001193185,0.0008011225,0.000352997,0.001181768,0.000794404,0.0197659],"category_scores_gemma":[0.0002673746,0.001355045,0.001013595,0.0005690046,0.0004461354,0.0002906701,0.0003017549,0.0008471916,0.008837114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006981539,"about_ca_system_score_gemma":0.0006399468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006196259,"about_ca_topic_score_gemma":0.009617988,"domain_scores_codex":[0.9915385,0.0009742133,0.00169527,0.002159575,0.001916286,0.001716146],"domain_scores_gemma":[0.9945005,0.0004022369,0.001755015,0.002549739,0.0003083253,0.0004841566],"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":[0.0007704177,0.0002155711,0.00004686912,0.002685753,0.0007757554,0.0001429874,0.000819805,0.0001236549,0.001547504,0.009073793,0.983234,0.0005638548],"study_design_scores_gemma":[0.002108613,0.0008511861,0.00001721765,0.0004986081,0.000385767,0.000298599,0.0006904812,0.0002736895,0.001018347,0.0004066614,0.9918561,0.001594729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009956171,0.003874529,0.0398074,0.0005606316,0.01111394,0.02540265,0.1177097,0.008729229,0.7918063],"genre_scores_gemma":[0.0167197,0.00009864257,0.006730523,0.0001776906,0.003886012,0.003772995,0.05473171,0.005534339,0.9083484],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1165421,"threshold_uncertainty_score":0.9997751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01935430073018709,"score_gpt":0.2491258830514048,"score_spread":0.2297715823212177,"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."}}