{"id":"W4233466028","doi":"10.1515/iupac.81.0356","title":"Eutrophy","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography","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":[0.0006877794,0.001703626,0.001205871,0.003245698,0.00082358,0.002602964,0.002204507,0.001427694,0.08165196],"category_scores_gemma":[0.004273338,0.0005123529,0.001246664,0.004904598,0.0003694621,0.002033763,0.002646739,0.001805975,0.09953356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433985,"about_ca_system_score_gemma":0.001808184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085984,"about_ca_topic_score_gemma":0.04345471,"domain_scores_codex":[0.9989003,0.0001759643,0.0001487122,0.0003617752,0.0002553628,0.0001578933],"domain_scores_gemma":[0.9985911,0.0003478385,0.0002136932,0.0003336989,0.0003841904,0.0001295212],"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":[0.000103021,0.00002002488,0.002870974,0.001806191,0.00004494213,0.00004763627,0.00005727114,0.0003482698,0.0002064042,0.001727012,0.9866035,0.00616483],"study_design_scores_gemma":[0.00007753578,0.00001028398,0.004118805,0.0005174519,0.000019865,0.00007755915,0.00008803232,0.0002212465,0.0001841953,0.001035612,0.9936329,0.00001672909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001938815,0.0001595894,0.0000715747,0.00008493847,0.00002311931,0.00000834001,0.9975773,0.0002030656,0.001678179],"genre_scores_gemma":[0.0004499443,0.0001468794,0.0002344542,0.00008010498,0.000005844606,0.00003443166,0.9980338,0.00005591722,0.0009585752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08165196,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065995376247667,"score_gpt":0.313752639692027,"score_spread":0.3030926859295504,"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."}}