{"id":"W4236507300","doi":"10.1515/iupac.81.0087","title":"Axenic Culture","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; Axenic culture; Relation (database); Ecology; Computer science; Biology; Data mining; Philosophy; Linguistics","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":[0.002458789,0.002540069,0.001760175,0.004082971,0.002119276,0.005246411,0.004996919,0.002918819,0.1050057],"category_scores_gemma":[0.01287183,0.0009098849,0.001808273,0.00766326,0.0007836575,0.003249452,0.003742584,0.003713886,0.1853975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910639,"about_ca_system_score_gemma":0.003955627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359266,"about_ca_topic_score_gemma":0.0475407,"domain_scores_codex":[0.9971567,0.0005311313,0.0003739537,0.0008935267,0.0006551563,0.000389438],"domain_scores_gemma":[0.9935514,0.001756192,0.0004206999,0.002179742,0.001529867,0.0005621003],"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":[0.0001086056,0.00004041599,0.0009958238,0.0006572904,0.00002835737,0.00003106877,0.00004280789,0.0002965331,0.0001510441,0.001135122,0.9922704,0.004242464],"study_design_scores_gemma":[0.0002018082,0.00002868419,0.00223035,0.0004801364,0.00003159615,0.00008751776,0.0001280619,0.0005956355,0.0004906477,0.002505988,0.9931828,0.0000367246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000292694,0.0001659576,0.0002715665,0.0001496652,0.00006982996,0.00004278173,0.9951208,0.001138718,0.002748037],"genre_scores_gemma":[0.0003328059,0.0001092275,0.000598636,0.0001206703,0.000007815253,0.0001160641,0.9974537,0.0001247426,0.001136217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1050057,"threshold_uncertainty_score":0.3512792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112272905952509,"score_gpt":0.3863491803809701,"score_spread":0.375226451321445,"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."}}