{"id":"W4256174042","doi":"10.1515/iupac.88.0789","title":"Facial Cleft","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Science Education and Perceptions","field":"Psychology","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":[0.000720598,0.001216324,0.001156618,0.003085629,0.0007952099,0.002019051,0.001879307,0.001465889,0.1735674],"category_scores_gemma":[0.00912381,0.0003785998,0.001396268,0.004224888,0.0003638841,0.001869912,0.00221979,0.001339126,0.1393495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163963,"about_ca_system_score_gemma":0.001894106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168358,"about_ca_topic_score_gemma":0.02939059,"domain_scores_codex":[0.9990278,0.0001286726,0.000216178,0.0002701131,0.0002372189,0.0001199863],"domain_scores_gemma":[0.9976648,0.0007394651,0.00035009,0.0004739336,0.0006313865,0.0001402271],"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":[0.0001168948,0.00001701011,0.002506256,0.001327596,0.0000309141,0.00008144656,0.00003486462,0.00008795847,0.00006380681,0.0006691467,0.9793482,0.01571583],"study_design_scores_gemma":[0.0001189268,0.00001796168,0.01453433,0.00197347,0.00004254177,0.0004979301,0.0002846413,0.0001933621,0.0002209849,0.002263025,0.9798181,0.00003470734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004966555,0.0004098118,0.0001507713,0.0001437148,0.00007448738,0.00004601099,0.9936452,0.0001876011,0.004845832],"genre_scores_gemma":[0.001795391,0.0005200359,0.0005248468,0.0002926781,0.00002844996,0.000263614,0.9925241,0.00007762821,0.003973293],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1735674,"threshold_uncertainty_score":0.5806407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0627631237681799,"score_gpt":0.542716395983465,"score_spread":0.4799532722152851,"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."}}