{"id":"W4245587841","doi":"10.1515/iupac.88.0539","title":"Blastocyst","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Toxic Organic Pollutants Impact","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; Philosophy; Data mining","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":[0.001064107,0.001380635,0.001532252,0.003549604,0.001136615,0.003197228,0.002533446,0.002007467,0.1096213],"category_scores_gemma":[0.006880327,0.0007124185,0.001453312,0.005097859,0.0004059202,0.00183925,0.002165628,0.001888439,0.1378313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001336165,"about_ca_system_score_gemma":0.002500004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01807465,"about_ca_topic_score_gemma":0.03119213,"domain_scores_codex":[0.9986596,0.0001664439,0.0002573355,0.0004037678,0.000338675,0.0001741441],"domain_scores_gemma":[0.9971523,0.0007887694,0.0003618125,0.0007953983,0.000704227,0.0001974056],"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":[0.0002409821,0.00002530863,0.002904318,0.002184984,0.00006268836,0.00009088272,0.00003843767,0.0003604328,0.0004262751,0.00133368,0.9800029,0.01232919],"study_design_scores_gemma":[0.0001333075,0.00002091516,0.004957852,0.0006719784,0.0000469295,0.0001731719,0.00006487368,0.0002179647,0.0005551832,0.001490437,0.9916406,0.00002686344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002219689,0.0002701396,0.0001769939,0.00007585061,0.00004887346,0.00002521026,0.9964361,0.0003822218,0.002362641],"genre_scores_gemma":[0.0005714385,0.0002609454,0.0005135364,0.0001435458,0.00001069944,0.00009107009,0.9966949,0.00007630294,0.001637521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1096213,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266267320685749,"score_gpt":0.3883471443686383,"score_spread":0.3756844711617808,"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."}}