{"id":"W4246351364","doi":"10.1515/iupac.87.0256","title":"Frontal Lobe","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Cognitive science; Linguistics; Chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005234785,0.0003069697,0.0004755683,0.000176752,0.0003861501,0.00009010803,0.0005255941,0.0002414375,0.2567297],"category_scores_gemma":[0.0003150549,0.00018888,0.0001836583,0.00002182297,0.001011607,0.00009011992,0.0001514387,0.0006920898,0.00006551595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003419793,"about_ca_system_score_gemma":0.0007374769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002991265,"about_ca_topic_score_gemma":0.007322032,"domain_scores_codex":[0.9972487,0.0001024041,0.000354889,0.0003824374,0.001454866,0.0004567081],"domain_scores_gemma":[0.9986128,0.0001005514,0.0001198807,0.0005527611,0.000337134,0.000276869],"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":[0.00008858759,0.0001718627,1.917939e-7,0.0001524188,0.00006778332,0.0001343171,0.0002555828,1.312289e-8,4.171913e-7,0.0008037172,0.993076,0.005249169],"study_design_scores_gemma":[0.0005352413,0.0002124597,6.247004e-7,0.0003034166,0.00004410823,0.000004439449,0.0001450153,5.144886e-7,0.000001014229,0.0003021503,0.9981585,0.0002925477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001336502,0.001331295,0.000008616209,0.0007186329,0.003044625,0.0001818964,0.9889644,0.00005488805,0.005682261],"genre_scores_gemma":[0.00001152015,0.0004591936,0.000002616328,0.0003977806,0.0069589,0.000011155,0.9437032,0.00002727156,0.04842831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2566642,"threshold_uncertainty_score":0.7702304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03373453711795403,"score_gpt":0.3981761433068816,"score_spread":0.3644416061889275,"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."}}