{"id":"W4252281820","doi":"10.1515/iupac.88.0727","title":"Embryoid Body","year":2017,"lang":"it","type":"dataset","venue":"IUPAC Standards Online","topic":"Reproductive Health and Technologies","field":"Medicine","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":[0.001098044,0.001461246,0.001476299,0.004401715,0.001095204,0.002912076,0.001958304,0.00147396,0.1097862],"category_scores_gemma":[0.008033275,0.0007253077,0.001770945,0.005105938,0.0004944491,0.002076922,0.002510896,0.001797847,0.09533937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426105,"about_ca_system_score_gemma":0.002745821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496298,"about_ca_topic_score_gemma":0.02574087,"domain_scores_codex":[0.9987438,0.0001690261,0.0003002522,0.0003806687,0.0002778863,0.0001283936],"domain_scores_gemma":[0.9960897,0.001538205,0.0005364416,0.0007917821,0.0008611303,0.0001827613],"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":[0.0002431415,0.00001790263,0.003297645,0.004947172,0.00007315625,0.0001051849,0.00007180897,0.0003796159,0.0005145038,0.001734765,0.9701395,0.01847563],"study_design_scores_gemma":[0.00007689252,0.00001292589,0.005631442,0.001244894,0.00004542824,0.0001899804,0.00006346674,0.0001278641,0.0003555878,0.00133133,0.9908948,0.0000253945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001945336,0.0004665438,0.0002350387,0.00006998483,0.00005057108,0.00003144372,0.9963145,0.0003272126,0.002310212],"genre_scores_gemma":[0.0009524754,0.0006541861,0.001087728,0.0002043981,0.0000185216,0.0001763533,0.9950336,0.0001224809,0.001750192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1097862,"threshold_uncertainty_score":0.3672714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953963655138871,"score_gpt":0.4768821721329524,"score_spread":0.4473425355815637,"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."}}