{"id":"W6901899048","doi":"10.6073/pasta/05ca288d7203107bddab618e95524c0a","title":"SBC LTER: OCEAN: Particulate Organic Matter Content and Composition of Stream, Estuarine, and Marine Sediments","year":2018,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organic matter; Particulates; Total organic carbon; Nitrate; Dissolved organic carbon; Isotopes of nitrogen; δ15N; Nitrogen","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":[],"consensus_categories":[],"category_scores_codex":[0.001036662,0.00139266,0.0009609926,0.002532552,0.0007602499,0.001640011,0.002293243,0.001103282,0.01123905],"category_scores_gemma":[0.00228567,0.0005886043,0.0007524359,0.00571788,0.0003064811,0.0007135553,0.002011385,0.0009019261,0.01008245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002389554,"about_ca_system_score_gemma":0.003747346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2758816,"about_ca_topic_score_gemma":0.296132,"domain_scores_codex":[0.9993067,0.00005252212,0.00007946465,0.0001894472,0.0002417998,0.0001301063],"domain_scores_gemma":[0.9974408,0.0001676732,0.0005258048,0.0004519775,0.001101766,0.000311976],"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":[0.0002962511,0.00009656265,0.0562664,0.001262946,0.000243909,0.0001446019,0.0002042674,0.001293509,0.001476077,0.0006823455,0.9259872,0.01204595],"study_design_scores_gemma":[0.0004809042,0.00005434694,0.302849,0.0004207211,0.0001452472,0.0000946954,0.0003941329,0.001800249,0.002125967,0.0004548409,0.6910841,0.00009582935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002046852,0.00004175902,0.00006777621,0.0000347346,0.000009751601,0.00001305643,0.9970587,0.000185176,0.0005421942],"genre_scores_gemma":[0.003064923,0.00003707191,0.0003925076,0.00002312047,0.000005635086,0.0000766459,0.9958043,0.00003535127,0.0005604791],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2758816,"threshold_uncertainty_score":0.5485517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592613353807422,"score_gpt":0.2503828111165617,"score_spread":0.2144566775784875,"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."}}