{"id":"W4234518832","doi":"10.1515/iupac.87.0120","title":"California Verbal Learning Test","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Educational and Psychological Assessments","field":"Psychology","cited_by":693,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Test (biology); Computer science; Psychology; Chemistry; Linguistics; Biology; Data mining; Philosophy","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005365908,0.000468698,0.000535658,0.0001543687,0.000180916,0.00005258022,0.0005735448,0.00059989,0.08652231],"category_scores_gemma":[0.0006026127,0.0003262288,0.0001877009,0.0002102971,0.0001701023,0.0000431304,0.0001184525,0.001063031,0.0003469815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002837474,"about_ca_system_score_gemma":0.0003611091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000123803,"about_ca_topic_score_gemma":0.00008128142,"domain_scores_codex":[0.9970213,0.0002204245,0.0005371983,0.0007674489,0.0008522808,0.0006013988],"domain_scores_gemma":[0.9978229,0.000604398,0.0003323378,0.0006654082,0.0003172634,0.0002577026],"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":[0.0001291617,0.001090419,0.0009430012,0.00003216659,0.0001393977,0.00008071482,0.00002830753,2.961774e-7,0.000003768313,0.00004038166,0.9924508,0.005061593],"study_design_scores_gemma":[0.0009134802,0.0004936931,0.002699459,0.0001552748,0.00007601669,0.00003536262,0.00009349154,2.317588e-7,4.46685e-7,0.0004143628,0.9946752,0.0004429347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004411275,0.0005342246,0.00005041922,0.001583649,0.003014108,0.0002199833,0.9918372,0.00009776786,0.0022215],"genre_scores_gemma":[0.0002577102,0.0001936734,0.00002747715,0.0009419969,0.002471398,0.00005652917,0.9860556,0.00004054485,0.009955086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08617533,"threshold_uncertainty_score":0.999919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800894204168304,"score_gpt":0.4837710233841974,"score_spread":0.4557620813425144,"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."}}