{"id":"W4231414247","doi":"10.1515/iupac.81.0184","title":"Community","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002542827,0.000251711,0.0002548245,0.00001273209,0.0001086279,0.00001719466,0.0005669215,0.0002473938,0.02502191],"category_scores_gemma":[0.0002452958,0.0001974797,0.00008991167,0.00009004954,0.0001781966,0.00005209754,0.0005125778,0.0007608769,0.00001392057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005122881,"about_ca_system_score_gemma":0.0000298469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001807517,"about_ca_topic_score_gemma":0.0001644085,"domain_scores_codex":[0.9987409,0.0000310566,0.0002061321,0.0002096397,0.0005372335,0.0002750219],"domain_scores_gemma":[0.9989704,0.00005869756,0.00007287422,0.0007327113,0.00001337159,0.0001519546],"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":[0.00001440796,0.0001000397,0.000005503252,0.00005265508,0.00001279415,0.000009737802,0.000004353282,0.00001252105,0.001478843,1.714501e-7,0.9971748,0.00113415],"study_design_scores_gemma":[0.0002297227,0.00002268535,0.00001807223,0.0001007848,0.00002240519,0.00000838611,0.000006181423,0.00000388904,0.001670002,0.00007444507,0.9975761,0.000267374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009426511,0.00003522671,0.00004916145,0.0001543103,0.0001259787,0.00005458567,0.9979171,0.00005327773,0.0006676988],"genre_scores_gemma":[0.0001702438,0.00008101125,0.00002369242,0.000118214,0.0002093553,0.000004915515,0.9987669,0.00001662003,0.0006090713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02500799,"threshold_uncertainty_score":0.9758694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009120051657728756,"score_gpt":0.3401181358447624,"score_spread":0.3309980841870336,"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."}}