{"id":"W7133344533","doi":"10.58052/ieagr00lg","title":"2015-01-26-Yukon-kit-16-archive Grab Liquid>aqueous river water","year":2015,"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":[0.005189023,0.004321767,0.004852446,0.002195637,0.001539401,0.001425634,0.002442245,0.0030543,0.008177551],"category_scores_gemma":[0.001148382,0.003863832,0.002213032,0.001186904,0.002026208,0.001276173,0.0004974192,0.001666694,0.06383666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002502237,"about_ca_system_score_gemma":0.003662431,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01010936,"about_ca_topic_score_gemma":0.02287272,"domain_scores_codex":[0.9779187,0.002682035,0.005447485,0.005016332,0.004290943,0.00464451],"domain_scores_gemma":[0.9827023,0.001054733,0.005233187,0.005621701,0.003050492,0.002337588],"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":[0.006347575,0.0009673422,0.00006084342,0.009446543,0.002969826,0.0002135476,0.005035151,0.0006526422,0.003456222,0.007629058,0.9618625,0.001358741],"study_design_scores_gemma":[0.007376289,0.003778944,0.0000313291,0.003618627,0.001616952,0.0007699415,0.001851325,0.001262837,0.003415111,0.001436674,0.9703926,0.004449298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002979111,0.01415232,0.2170366,0.001538653,0.0245141,0.06507003,0.1748436,0.009975736,0.4898898],"genre_scores_gemma":[0.1985336,0.0003643036,0.01639781,0.0002474574,0.01468587,0.004144992,0.06678702,0.01210039,0.6867386],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2006388,"threshold_uncertainty_score":0.9997604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03078542606378275,"score_gpt":0.2731590416673063,"score_spread":0.2423736156035235,"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."}}