{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002495395,0.0001655241,0.0002490263,0.001780641,0.0003937595,0.001141366,0.0002177438,0.0002090521,0.002864575],"category_scores_gemma":[0.0005230196,0.0001178403,0.0002661288,0.001599042,0.0003628503,0.0004440357,0.0009699307,0.0001816802,0.000265228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103963,"about_ca_system_score_gemma":0.0005770585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407366,"about_ca_topic_score_gemma":0.03031066,"domain_scores_codex":[0.9998011,0.00002329346,0.00001246768,0.00005892792,0.00002701362,0.00007707898],"domain_scores_gemma":[0.9994206,0.00007002476,0.0001938656,0.00002763558,0.0001194393,0.0001683977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004913493,0.00002976575,0.9630944,0.0001219622,0.0001469932,0.0001771001,0.0007254002,0.0002000545,0.01422162,0.0007746063,0.001469858,0.01854694],"study_design_scores_gemma":[0.000003223739,0.00001337197,0.9985031,0.000008146756,0.000008653854,0.00004890572,0.0004759309,0.00006458234,0.0001840803,0.00008743925,0.0006006114,0.000002101439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963838,0.0005256915,0.00009053265,0.0002460444,0.00001167323,0.00001007223,0.0009747909,0.00001178702,0.001745683],"genre_scores_gemma":[0.9985864,0.0001857977,0.0001106332,0.00005920598,0.00001366105,0.00000730815,0.0006005518,0.000003593212,0.0004327895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01407366,"threshold_uncertainty_score":0.02798349,"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."}}