{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00457689,0.0004018366,0.0007233521,0.0003698016,0.00140162,0.0005515402,0.003083136,0.0009296459,0.008700024],"category_scores_gemma":[0.00565896,0.0003997249,0.000243766,0.0002607066,0.001392929,0.0002665968,0.0005307865,0.001431006,0.00002541404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009939251,"about_ca_system_score_gemma":0.004770888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01343828,"about_ca_topic_score_gemma":0.04317016,"domain_scores_codex":[0.993342,0.0004383704,0.0004641066,0.0006758465,0.004091796,0.0009878224],"domain_scores_gemma":[0.9960262,0.0002941485,0.0004011173,0.001770819,0.001053708,0.0004540252],"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":[0.00007068593,0.0001510003,0.000004857818,0.0001038807,0.00005129585,0.000300965,0.00008275088,2.306691e-7,0.00000384852,0.00006529972,0.9948258,0.004339399],"study_design_scores_gemma":[0.0003321362,0.0000983596,0.00001211789,0.0002292678,0.00005323719,0.000004076063,0.0001572244,0.000001393688,0.00001628563,0.0004833431,0.9981971,0.00041544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003177396,0.0004948274,0.00001570106,0.004672694,0.001303292,0.0007588163,0.9886441,0.0002415876,0.003837217],"genre_scores_gemma":[0.00005479985,0.003962643,0.0001343348,0.0001921517,0.00270417,0.00005072578,0.9887124,0.00004711888,0.0041417],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02973188,"threshold_uncertainty_score":0.9998984,"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."}}