{"id":"W4251088488","doi":"10.1515/iupac.88.0553","title":"Buccopharyngeal Membrane","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Delphi Technique in Research","field":"Social Sciences","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":[0.001494051,0.001107632,0.001452835,0.004826398,0.0007724984,0.002011915,0.001553749,0.00121299,0.08905625],"category_scores_gemma":[0.0129205,0.0004773633,0.00199546,0.006472698,0.0005257129,0.001891055,0.002103368,0.00149536,0.04279877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211619,"about_ca_system_score_gemma":0.002999572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0126481,"about_ca_topic_score_gemma":0.0206971,"domain_scores_codex":[0.9979888,0.0003387136,0.0006931207,0.0004397824,0.0003773269,0.0001621512],"domain_scores_gemma":[0.9938864,0.002194317,0.001268283,0.001164072,0.001261601,0.0002253138],"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":[0.0004911501,0.00003644872,0.009387462,0.01150674,0.0002261462,0.0002158018,0.0001204487,0.0004234165,0.0004364445,0.001693062,0.929933,0.04552985],"study_design_scores_gemma":[0.0002910543,0.00004927991,0.03996123,0.006877006,0.0001607735,0.0006810762,0.0002690149,0.0003016234,0.0004261757,0.002175394,0.9487437,0.00006355836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008185991,0.0008982415,0.0003203079,0.0001142177,0.00007172875,0.0001273545,0.9944525,0.0001414339,0.003055552],"genre_scores_gemma":[0.003333434,0.00124168,0.001358459,0.0002444791,0.00003878357,0.001047538,0.9903734,0.00006750874,0.002294731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08905625,"threshold_uncertainty_score":0.2979228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08292389778458953,"score_gpt":0.5712121617510297,"score_spread":0.4882882639664402,"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."}}