{"id":"W4234291939","doi":"10.1515/iupac.78.0174","title":"Biodegradation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Chemistry and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Pesticide; Computer science; Relation (database); Environmental chemistry; Biochemical engineering; Ecology; Engineering; Chemistry; Biology; Data mining","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":[0.0009088616,0.00231487,0.001541755,0.005451573,0.0008542401,0.002839722,0.002396521,0.0016097,0.1040161],"category_scores_gemma":[0.006251683,0.0005818307,0.001883383,0.00929332,0.0003571797,0.002344461,0.001873749,0.00160357,0.09787947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985152,"about_ca_system_score_gemma":0.002784796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483647,"about_ca_topic_score_gemma":0.04471746,"domain_scores_codex":[0.9985679,0.0001660319,0.0002780466,0.0004681267,0.0003696775,0.0001501182],"domain_scores_gemma":[0.9972674,0.0007349321,0.0004861912,0.0005475677,0.0008044841,0.000159434],"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":[0.0001028335,0.00002032441,0.001819286,0.003434383,0.000062532,0.00003340715,0.00003624964,0.0003521465,0.0003071959,0.001112439,0.9845747,0.008144506],"study_design_scores_gemma":[0.00007978025,0.00001380839,0.003812972,0.0007413756,0.0000400002,0.00005801464,0.00004441464,0.0001713168,0.0002798258,0.001165259,0.9935691,0.00002396169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007385431,0.0001628545,0.00005034602,0.00003708595,0.00001193762,0.00000725447,0.9987535,0.0001129196,0.0007901886],"genre_scores_gemma":[0.0002933019,0.0002080532,0.0002432822,0.00006400583,0.000004210461,0.00004629474,0.9984742,0.00004352618,0.0006231224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1040161,"threshold_uncertainty_score":0.3479684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007377506469392865,"score_gpt":0.3361677580269025,"score_spread":0.3287902515575096,"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."}}