{"id":"W4237733369","doi":"10.1515/iupac.88.0729","title":"Embryo Transfer","year":2017,"lang":"it","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001960903,0.0009706,0.001367934,0.002278056,0.0009982283,0.002747656,0.002029839,0.001588186,0.1311675],"category_scores_gemma":[0.01070646,0.0005576661,0.001939242,0.003529015,0.0004663181,0.001689583,0.002061739,0.002032135,0.09565718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142583,"about_ca_system_score_gemma":0.002387381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007765246,"about_ca_topic_score_gemma":0.01330932,"domain_scores_codex":[0.9982235,0.0003044167,0.0004124339,0.00055884,0.0003477625,0.000153131],"domain_scores_gemma":[0.9959952,0.001565119,0.000413074,0.001262343,0.0006083157,0.0001560686],"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":[0.0006562112,0.00006900227,0.003969707,0.004376824,0.0001813806,0.0001700295,0.0000712902,0.0005267962,0.000767586,0.002397013,0.9414079,0.04540634],"study_design_scores_gemma":[0.0002676681,0.00004615486,0.004956704,0.001116866,0.0001038043,0.0003144678,0.00007551727,0.000230571,0.00090041,0.002614272,0.9893406,0.00003305855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007915886,0.001200453,0.001064557,0.0002377912,0.0001949226,0.0002141668,0.9877992,0.0007834414,0.007713931],"genre_scores_gemma":[0.002564116,0.001345357,0.003115398,0.0007985194,0.00005533986,0.0009442545,0.9844178,0.0002848444,0.006474345],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8688325,"threshold_uncertainty_score":0.4387991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380051913619126,"score_gpt":0.440839457642165,"score_spread":0.4270389385059738,"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."}}