{"id":"W4236725598","doi":"10.1515/iupac.81.0606","title":"Mixing Zone","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Sampling (signal processing); Ecology; Computer science; Environmental science; Biology; Data mining; Linguistics; Philosophy","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":[0.0007173769,0.001900979,0.001345462,0.002937074,0.001024371,0.003182689,0.002914429,0.00165448,0.08091468],"category_scores_gemma":[0.004288043,0.0005027494,0.001541329,0.00440928,0.0003383342,0.002370868,0.002303756,0.001895013,0.1376163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347933,"about_ca_system_score_gemma":0.001538738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281155,"about_ca_topic_score_gemma":0.04517404,"domain_scores_codex":[0.9989945,0.0001420082,0.0001163827,0.0003572252,0.0002200553,0.0001697521],"domain_scores_gemma":[0.9985582,0.0002558769,0.0001937277,0.0004281934,0.0004130107,0.0001509326],"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":[0.0001326562,0.00002698541,0.003479864,0.0006779646,0.00004286364,0.00004334666,0.00004751265,0.0004964579,0.0001789323,0.001483399,0.9850495,0.008340519],"study_design_scores_gemma":[0.00007750861,0.00001002271,0.005314409,0.000285099,0.00001976101,0.00006550414,0.000133702,0.0004957619,0.000307291,0.001637421,0.9916304,0.00002321002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003647743,0.0001393046,0.0001642997,0.00008609548,0.00005484872,0.0000164893,0.996006,0.0004827627,0.002685543],"genre_scores_gemma":[0.001002693,0.00009619546,0.0004921425,0.00006000471,0.00001255111,0.00004714771,0.9966373,0.00007972815,0.001572181],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08091468,"threshold_uncertainty_score":0.2706866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340483516471449,"score_gpt":0.3800118634767593,"score_spread":0.3666070283120448,"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."}}