{"id":"W4231003726","doi":"10.1515/iupac.88.1076","title":"Morula","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Treatment and Pharmacology","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; 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":[0.001652968,0.001548428,0.001645491,0.004394654,0.000862192,0.003683575,0.002695367,0.001679354,0.1473641],"category_scores_gemma":[0.01294305,0.000679633,0.001963096,0.006689888,0.0004158324,0.002404127,0.002722553,0.001770819,0.185821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436913,"about_ca_system_score_gemma":0.00326151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0133974,"about_ca_topic_score_gemma":0.02616155,"domain_scores_codex":[0.9981887,0.0003937058,0.0003750219,0.0005414601,0.00030636,0.0001946635],"domain_scores_gemma":[0.9958414,0.001371245,0.0005679505,0.0009172497,0.0009926889,0.0003094408],"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":[0.0001492197,0.00001595278,0.001123195,0.002508215,0.00007092021,0.0000281241,0.0000398938,0.0001953223,0.0001148447,0.001219259,0.9877221,0.006812925],"study_design_scores_gemma":[0.0001936745,0.00001833487,0.002052924,0.0009418082,0.00004116005,0.00005839254,0.00005035821,0.0001783786,0.0001619703,0.001447898,0.9948332,0.00002174294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007981143,0.0001661282,0.0001036084,0.00009416955,0.0000307108,0.00002347775,0.9978287,0.0004349757,0.001238501],"genre_scores_gemma":[0.0003071376,0.0002109459,0.0003930538,0.0001566777,0.00001515296,0.0001335714,0.997655,0.0001428865,0.0009854363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1473641,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012265849020757,"score_gpt":0.5193382229373927,"score_spread":0.4892155644471852,"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."}}