{"id":"W4396928990","doi":"10.29173/spectrum245","title":"Inspiring Repertoire for Enrichment","year":2024,"lang":"en","type":"article","venue":"Spectrum","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Repertoire; Computational biology; Biology; Art; Literature","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003585255,0.00003182122,0.00003177295,0.00005743606,0.0003338967,0.0002502638,0.00006514441,0.00002634998,0.000675242],"category_scores_gemma":[0.0002506529,0.00003034967,0.00002909686,0.000335124,0.00003171241,0.0003133113,0.000006580351,0.00009533256,0.0001567762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113923,"about_ca_system_score_gemma":0.000444396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009992948,"about_ca_topic_score_gemma":0.0008979089,"domain_scores_codex":[0.9995604,0.00001904573,0.00007913822,0.000106916,0.0001020565,0.0001324297],"domain_scores_gemma":[0.9997241,0.0001339432,0.00001486692,0.00006994573,0.00002367044,0.00003342642],"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":[0.000001519998,0.00001330759,0.0000890749,0.000008036854,0.00000739292,7.689587e-7,0.007564122,7.980722e-7,0.00006747231,0.9488051,0.03411691,0.009325482],"study_design_scores_gemma":[0.00002407264,0.00001042628,0.000128719,0.000008582397,0.000004816657,4.357827e-7,0.001588426,0.00004220039,0.0001743315,0.0241612,0.9738124,0.00004437484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007426892,0.0004241,0.001667508,0.4729975,0.003184001,0.000260716,0.000004671097,0.0002683772,0.5137662],"genre_scores_gemma":[0.9652526,0.00003835323,0.0006015407,0.0008710499,0.000892286,0.00004221051,0.000004125733,0.000006188101,0.03229164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9578257,"threshold_uncertainty_score":0.7393427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04316405541703564,"score_gpt":0.4144762855152757,"score_spread":0.37131223009824,"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."}}