{"id":"W2481831568","doi":"","title":"Biogeochemical Hotspots across Terrestrial-Aquatic Ecotones II","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biogeochemical cycle; Ecotone; Environmental science; Oceanography; Geography; Ecology; Geology; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001635662,0.000153113,0.0002334745,0.00005500169,0.0003159385,0.00004288405,0.0003615084,0.0002207381,0.0002300935],"category_scores_gemma":[0.001031811,0.0001212943,0.00005519701,0.0001667993,0.0002026101,0.0001284335,0.0001091047,0.0002632939,0.001319579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008447219,"about_ca_system_score_gemma":0.0001049586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01519595,"about_ca_topic_score_gemma":0.04154882,"domain_scores_codex":[0.9983353,0.0001858907,0.0002617071,0.0003325185,0.0002174905,0.0006670795],"domain_scores_gemma":[0.9990608,0.0002992717,0.00008236041,0.0002128998,0.0000356962,0.0003089751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001055291,0.00001937034,0.9872754,0.000005262685,0.0000171789,0.0000204877,0.0003248385,0.00006366325,0.0000518783,0.00000231902,0.00840354,0.003710554],"study_design_scores_gemma":[0.00201995,0.0007953022,0.9277084,0.00004359962,0.00002577999,0.0001038596,0.001134899,0.01887534,0.0005750543,0.002679228,0.045409,0.0006295959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849535,0.0004618481,0.000001257996,0.0008910224,0.0006548853,0.0001578726,0.00002486522,0.00006690498,0.0127878],"genre_scores_gemma":[0.9980339,0.00002135112,0.0002940713,0.0001633853,0.0004279853,0.000003601338,0.0001826693,0.000004016984,0.0008690225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05956699,"threshold_uncertainty_score":0.999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04913295973244682,"score_gpt":0.3034469805428329,"score_spread":0.2543140208103861,"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."}}