{"id":"W4235163947","doi":"10.1515/iupac.81.0113","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 Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Relation (database); Environmental chemistry; Environmental science; Computer science; Ecology; Risk assessment; Biology; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002224339,0.0003076237,0.0002953952,0.00003385139,0.0001120595,0.00002778134,0.000395557,0.0002410426,0.07622752],"category_scores_gemma":[0.00007187342,0.0002300543,0.0001559242,0.0001488221,0.0002582594,0.0001191901,0.0002902278,0.0002275135,0.00007449484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006832859,"about_ca_system_score_gemma":0.00002508293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001565754,"about_ca_topic_score_gemma":0.0003131755,"domain_scores_codex":[0.9979489,0.00003525417,0.0002888465,0.0005092479,0.000933071,0.0002846839],"domain_scores_gemma":[0.9990157,0.00002684231,0.0001843865,0.0006234865,0.000007542753,0.0001419962],"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":[0.00001547291,0.0001165758,0.0001986764,0.00001669759,0.00003050689,0.00001580019,0.000001712805,0.000007518547,0.0006424473,1.788062e-7,0.9960144,0.00294007],"study_design_scores_gemma":[0.000226024,0.00003520511,0.0001348922,0.00005255405,0.0000981763,0.000005085281,0.000006465004,0.000003674712,0.0008317206,0.00006414303,0.9982243,0.0003178117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006803702,0.00007252589,0.00008271066,0.0003456337,0.00009622025,0.00007882799,0.9982572,0.00002818126,0.0003582989],"genre_scores_gemma":[0.0001304716,0.0005242231,0.00004857305,0.0001758223,0.0002282759,0.000007337624,0.9968598,0.00001670909,0.002008781],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07615303,"threshold_uncertainty_score":0.938134,"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."}}