{"id":"W4247832603","doi":"10.1515/iupac.81.0891","title":"Syngenetic","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; 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":[0.001576895,0.002882972,0.001677147,0.007518476,0.00191332,0.005258101,0.003333338,0.002928491,0.100448],"category_scores_gemma":[0.01363651,0.0008629929,0.002215432,0.01034871,0.0009335481,0.004364141,0.00384603,0.003060171,0.1526166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043654,"about_ca_system_score_gemma":0.004247583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131988,"about_ca_topic_score_gemma":0.02893404,"domain_scores_codex":[0.9966061,0.0005620279,0.0005798376,0.001145112,0.0007014467,0.000405388],"domain_scores_gemma":[0.9953977,0.00139863,0.0005001528,0.001271295,0.001117304,0.0003149124],"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":[0.00009366791,0.00002274115,0.002077371,0.001605095,0.00004244454,0.00008534842,0.00007052713,0.0002933733,0.0001797502,0.001916807,0.9880764,0.00553629],"study_design_scores_gemma":[0.0000850354,0.00001169183,0.001904668,0.0004296833,0.00002332249,0.0001752788,0.000126188,0.0002865074,0.0001991774,0.002284692,0.9944511,0.00002268756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003169412,0.0004089042,0.0002411534,0.000180193,0.0001031146,0.00003390907,0.9953779,0.0006553989,0.00268252],"genre_scores_gemma":[0.0005438473,0.0002018989,0.0005450995,0.0001281496,0.00001604231,0.0001059376,0.9974269,0.0001338669,0.0008981825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.100448,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005195278231250446,"score_gpt":0.3185827294145144,"score_spread":0.313387451183264,"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."}}