{"id":"W4255072769","doi":"10.1515/iupac.81.0699","title":"Pollutant","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Pollutant; Environmental science; Ecology; Computer science; Biology; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001204332,0.0009911683,0.001240578,0.0006574398,0.0001704487,0.0001196869,0.001220486,0.000750243,0.02362681],"category_scores_gemma":[0.001505412,0.0007153402,0.000384042,0.0005040589,0.0003774247,0.0001701194,0.0004540854,0.0008935772,0.0003864399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944041,"about_ca_system_score_gemma":0.002386573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002007178,"about_ca_topic_score_gemma":0.002026845,"domain_scores_codex":[0.9937403,0.0002149441,0.0008701115,0.001054107,0.003008249,0.001112273],"domain_scores_gemma":[0.995585,0.000134491,0.0006380222,0.002402338,0.0007738696,0.0004662918],"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":[0.0004195201,0.0002969817,0.000001972283,0.00009476765,0.0002402789,0.0003438037,0.000005522975,3.974875e-7,0.00009377049,0.0000129782,0.9959206,0.002569388],"study_design_scores_gemma":[0.00167049,0.0002415698,0.00001833868,0.0007043121,0.0002745412,0.00007305757,0.00001127269,0.000001405737,0.00003778321,0.000225613,0.9957551,0.0009865527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002186084,0.00114605,0.0000346805,0.0005761714,0.001439414,0.0004951389,0.9957743,0.000375645,0.0001366941],"genre_scores_gemma":[0.000007853069,0.0005645783,0.00005103127,0.0003355005,0.002520103,0.00002093161,0.9952074,0.0002948694,0.0009977784],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02324037,"threshold_uncertainty_score":0.9995298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583725402277332,"score_gpt":0.4179228976443401,"score_spread":0.4020856436215668,"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."}}