{"id":"W2995440500","doi":"","title":"Biomarkers of Canadian High Arctic Litoral Sediments for Assessment of Organic Matter Sources and Degradation","year":2009,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Arctic; Degradation (telecommunications); Organic matter; Environmental science; Oceanography; Environmental degradation; Earth science; Environmental chemistry; Physical geography; Geology; Geography; Chemistry; Ecology; Computer science","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":[0.0004527408,0.0007401962,0.0003017842,0.002547679,0.002735611,0.001916356,0.0004315501,0.0005963447,0.001034052],"category_scores_gemma":[0.0005220852,0.0002457282,0.0001893529,0.00233733,0.0004555568,0.0003689741,0.0005419455,0.0003909699,0.0002313975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009199208,"about_ca_system_score_gemma":0.01378822,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9258991,"about_ca_topic_score_gemma":0.9749833,"domain_scores_codex":[0.9997081,0.00001399592,0.00001322557,0.00005480643,0.0001192495,0.00009058945],"domain_scores_gemma":[0.9994401,0.00001732629,0.00005147797,0.000008240325,0.00041729,0.000065573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00122102,0.0001797908,0.3865848,0.0005634504,0.0003573439,0.0003038827,0.001903808,0.003422958,0.5237783,0.001490885,0.005374138,0.0748197],"study_design_scores_gemma":[0.00004160777,0.0002094715,0.8722118,0.0001444589,0.0002370451,0.0002111422,0.002555613,0.003024939,0.08918203,0.0002993776,0.03180451,0.00007792929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814677,0.004204608,0.001516679,0.0003048759,0.00005053853,0.0001030981,0.005225672,0.00005896675,0.007067884],"genre_scores_gemma":[0.9774599,0.003895914,0.006372577,0.0002207172,0.00001727281,0.00009191978,0.003129839,0.00002132151,0.008790559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07410091,"threshold_uncertainty_score":0.1490746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244202230084442,"score_gpt":0.2218281193851344,"score_spread":0.1993860970842899,"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."}}