{"id":"W4243305610","doi":"10.1515/iupac.88.0732","title":"Embryonic Period","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","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":[0.0009282358,0.001179895,0.001011146,0.003377853,0.0007614314,0.002300359,0.001521488,0.001113827,0.1085714],"category_scores_gemma":[0.007192549,0.000487564,0.001466902,0.004620886,0.0003313867,0.001758006,0.001711827,0.00140987,0.09183241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290057,"about_ca_system_score_gemma":0.002309213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01856979,"about_ca_topic_score_gemma":0.0339811,"domain_scores_codex":[0.9987826,0.0001600965,0.0003240502,0.0003496984,0.0002383684,0.0001452214],"domain_scores_gemma":[0.996938,0.0009182777,0.0005148546,0.0006559477,0.000804995,0.0001679472],"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":[0.0002611024,0.00002028257,0.003770691,0.00293353,0.00005944121,0.00006826012,0.00006400007,0.0002313412,0.0002404618,0.001669841,0.9737911,0.01688999],"study_design_scores_gemma":[0.00007321085,0.00001376603,0.006918988,0.0008003507,0.00003226668,0.0001130241,0.00007111488,0.00007364831,0.0001708419,0.0009644543,0.9907498,0.0000185215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002531206,0.0003302253,0.0001345673,0.00009005096,0.00006056597,0.00003184488,0.9955974,0.0001857417,0.003316533],"genre_scores_gemma":[0.001060625,0.000523516,0.0005802555,0.0002067948,0.00002397582,0.0001578615,0.9943523,0.00008534265,0.003009241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1085714,"threshold_uncertainty_score":0.3632076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113763893415985,"score_gpt":0.4438866408504192,"score_spread":0.4327490019162594,"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."}}