{"id":"W6929577933","doi":"10.5061/dryad.1786p/1","title":"Nutrient concentration and density data; A Canadian Healthy Oceans Network Ecosystem Function Project, EF-03","year":2014,"lang":"en","type":"other","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nutrient; Ecosystem; Function (biology); Nutrient cycle; Aquatic ecosystem","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008187856,0.0004406766,0.0005566336,0.0002024532,0.0002397169,0.0001316744,0.0003021223,0.000491626,0.0002332282],"category_scores_gemma":[0.00005109213,0.0004558731,0.00004003336,0.0003722948,0.0000600691,0.0001119854,0.00008279113,0.0003369274,0.002556483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000854952,"about_ca_system_score_gemma":0.00134493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2065666,"about_ca_topic_score_gemma":0.941357,"domain_scores_codex":[0.9970824,0.0003994,0.0003784353,0.0009800203,0.0003577427,0.0008020403],"domain_scores_gemma":[0.9976542,0.00004045423,0.0004973924,0.001244042,0.00008178301,0.0004821178],"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":[0.00008490108,0.00002072694,0.005002371,0.0002318966,0.00009762293,0.00001091527,0.00008064807,0.000006239187,0.000001872701,0.0009795042,0.9930581,0.0004251533],"study_design_scores_gemma":[0.0006920185,0.0001143815,0.001207811,0.0003641392,0.0001504562,0.0000208414,0.00003789239,0.002573258,6.544527e-7,0.0000290031,0.9943851,0.0004244392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01455337,0.01801351,0.005435251,0.00114652,0.01895477,0.02322613,0.03346794,0.0039732,0.8812293],"genre_scores_gemma":[0.6818634,0.001684643,0.001627595,0.005145978,0.02857901,0.000400794,0.07652551,0.007525522,0.1966476],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7347903,"threshold_uncertainty_score":0.9997893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216177119493516,"score_gpt":0.248544762625232,"score_spread":0.2263829914302969,"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."}}