{"id":"W1942917228","doi":"10.3968/j.css.1923669720100603.009","title":"A Revised Optimal Spanning Table Method for Expanding Competence Sets","year":2010,"lang":"en","type":"article","venue":"Canadian social science","topic":"Competency Development and Evaluation","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Computer science; Humanities; Artificial intelligence; Algorithm; Mathematics; Philosophy; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001982724,0.00009578652,0.0001292503,0.0002048034,0.001140266,0.0001202149,0.000414881,0.00007530996,0.0009525834],"category_scores_gemma":[0.0002737496,0.0001046629,0.0000383234,0.0007621278,0.0002223239,0.0002112604,0.00002647515,0.0001591225,0.00006727764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988083,"about_ca_system_score_gemma":0.001078468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193341,"about_ca_topic_score_gemma":0.007240718,"domain_scores_codex":[0.9985371,0.00003547653,0.0001607086,0.0003710334,0.000227137,0.0006685284],"domain_scores_gemma":[0.9992074,0.00009334537,0.00007032922,0.0001405203,0.0001814759,0.0003069089],"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":[0.0000670523,0.00005541542,0.05188194,0.00004215871,0.00005104833,0.00003392979,0.05659112,0.00002008793,0.1821636,0.3440119,0.03847483,0.3266069],"study_design_scores_gemma":[0.003212574,0.0002245623,0.3295281,0.0001057602,0.0001079891,0.00006560229,0.02172246,0.01919457,0.004277809,0.006316795,0.6129192,0.002324587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5419301,0.00006490845,0.03721922,0.002300292,0.006916649,0.001266364,0.00005558803,0.0001101498,0.4101367],"genre_scores_gemma":[0.9521843,3.251656e-7,0.04591076,0.0004690155,0.0002654197,0.00007767495,0.000008872014,0.0000103973,0.001073264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5744444,"threshold_uncertainty_score":0.9999607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05009143774297929,"score_gpt":0.4077533796070503,"score_spread":0.357661941864071,"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."}}