{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001209819,0.001464929,0.0014867,0.003697723,0.0007829193,0.002021093,0.003212553,0.001308435,0.07326844],"category_scores_gemma":[0.01574283,0.0003471904,0.0007813728,0.0038979,0.0003444528,0.002112995,0.001347831,0.002492971,0.06922001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001520418,"about_ca_system_score_gemma":0.001971404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309516,"about_ca_topic_score_gemma":0.03158385,"domain_scores_codex":[0.9987204,0.0001739148,0.000321452,0.0003574021,0.0003064118,0.0001203883],"domain_scores_gemma":[0.9941006,0.001355564,0.0007772879,0.0008072932,0.002592497,0.0003667496],"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":[0.0003631887,0.0001408662,0.01820628,0.0004981693,0.0001105729,0.00006279266,0.00004902271,0.0003187768,0.00003031201,0.0004725848,0.9605306,0.01921684],"study_design_scores_gemma":[0.0009666273,0.000182713,0.1728306,0.001136286,0.0001573546,0.000430858,0.0004525823,0.001705101,0.0004538482,0.00500019,0.8165037,0.0001801888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002203185,0.0001465542,0.0001497639,0.0001587767,0.00004757069,0.00009851285,0.9924273,0.0002586782,0.004509693],"genre_scores_gemma":[0.004925098,0.0001850363,0.0004567559,0.0001240211,0.00002893629,0.0006108757,0.9896727,0.00006033918,0.0039362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07326844,"threshold_uncertainty_score":0.2451074,"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."}}