{"id":"W4243996801","doi":"10.1515/iupac.88.1401","title":"Teratogenesis","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001747065,0.001722592,0.001774728,0.005628642,0.0009900258,0.003421597,0.002753112,0.001916444,0.09258293],"category_scores_gemma":[0.01055073,0.0008204017,0.002364234,0.007046198,0.0005355472,0.002200752,0.00260338,0.002361068,0.08290485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997418,"about_ca_system_score_gemma":0.003701641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552162,"about_ca_topic_score_gemma":0.02628383,"domain_scores_codex":[0.9979931,0.00032146,0.000497644,0.0005068579,0.000501155,0.000179883],"domain_scores_gemma":[0.9942937,0.001724634,0.00100043,0.001277675,0.001417514,0.0002860766],"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":[0.0001818543,0.00002339294,0.002758418,0.006617824,0.00009345332,0.00006773666,0.00005033238,0.000322538,0.000390889,0.001781159,0.9720733,0.0156391],"study_design_scores_gemma":[0.0001213724,0.00001486065,0.004447533,0.001512285,0.00006215199,0.0001339093,0.0000389442,0.0001195394,0.000286078,0.001292209,0.991946,0.00002514599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001394388,0.0006332034,0.0002035939,0.0001104598,0.00005544157,0.00003560739,0.9964964,0.0003580573,0.001967833],"genre_scores_gemma":[0.0005875205,0.0007457171,0.0008170378,0.0002121464,0.00001817261,0.0001646534,0.9959656,0.0001140697,0.00137507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09258293,"threshold_uncertainty_score":0.3097208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187320009814565,"score_gpt":0.42249377816171,"score_spread":0.4037617771802535,"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."}}