{"id":"W2895797749","doi":"10.3828/indexer.2015.28","title":"Evaluating indexes: observations on ANZSI experience","year":2015,"lang":"en","type":"article","venue":"The Indexer","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glycemic Index Laboratories","funders":"","keywords":"Accreditation; Medical education; Library science; Computer science; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0009720973,0.0000725607,0.0000651556,0.00003900657,0.0005610769,0.0007889457,0.0005469504,0.00002712373,0.0001658307],"category_scores_gemma":[0.0005487581,0.00004647983,0.0000254593,0.00005607432,0.0001343546,0.0008136317,0.00008176079,0.0002651874,0.0001287493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004468891,"about_ca_system_score_gemma":0.00006323135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003649716,"about_ca_topic_score_gemma":0.0001885604,"domain_scores_codex":[0.999144,0.0001417459,0.0001509723,0.00010298,0.0003320451,0.0001283168],"domain_scores_gemma":[0.9989655,0.0001539568,0.00007213519,0.0005451831,0.0002174461,0.00004580067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003334393,0.0001016743,0.003338506,0.000002630127,0.00001720795,6.000233e-7,0.4532981,0.0003491881,0.0001183081,0.5065471,0.02844366,0.007749668],"study_design_scores_gemma":[0.0009045929,0.0003231551,0.01505972,0.00009935101,0.00002887394,0.000003465047,0.0627455,0.004341366,0.0001899075,0.05408349,0.8617715,0.0004491442],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9058562,0.00007438668,0.00001404308,0.003556971,0.0004014127,0.0001035347,0.00000352946,0.00008499064,0.08990495],"genre_scores_gemma":[0.9900919,0.000001849331,0.0001027422,0.001497427,0.000325983,0.00004599743,0.00001086924,0.000009170573,0.007914121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8333278,"threshold_uncertainty_score":0.7607821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5415841524603444,"score_gpt":0.3877393531441313,"score_spread":0.1538447993162131,"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."}}