{"id":"W1967323590","doi":"10.1145/2492517.2500268","title":"Identifying unreliable sources of skill and competency information","year":2013,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Crawling; Computer science; Knowledge management; Order (exchange); Ontology; Data science; Business","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":[0.0001118125,0.00004377858,0.0000786638,0.00007105824,0.00003636214,0.0001673964,0.0001972302,0.00002188752,0.00002323867],"category_scores_gemma":[0.000006044645,0.00003308112,0.00001482652,0.00008953615,0.00001138496,0.001848551,0.0001269242,0.00002596866,0.00002473161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004187099,"about_ca_system_score_gemma":0.000007844612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000366,"about_ca_topic_score_gemma":0.00000464801,"domain_scores_codex":[0.9995773,0.00001181725,0.000185182,0.00006134956,0.00008674582,0.00007762198],"domain_scores_gemma":[0.9996538,0.00002451933,0.00007750822,0.0001586798,0.00006376998,0.00002169357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[5.089717e-7,0.00003812366,0.02590797,0.0002577615,0.00002391404,4.570796e-7,0.005649583,0.00000608425,0.0009531819,0.7890143,0.02547423,0.1526738],"study_design_scores_gemma":[0.001469029,0.0005907709,0.2330942,0.0006768529,0.00001604762,0.0001699349,0.004305942,0.2189153,0.1408935,0.3230335,0.07548869,0.001346156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04237579,0.00008213137,0.9173541,0.0003943443,0.0001369801,0.0001799154,2.503288e-7,0.0001725243,0.03930395],"genre_scores_gemma":[0.9002763,0.00002014356,0.09937447,0.0001439446,0.000005261346,0.00001011832,3.87547e-7,0.000001179466,0.0001682134],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8579005,"threshold_uncertainty_score":0.1614207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009993596176955567,"score_gpt":0.2189862541769306,"score_spread":0.208992657999975,"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."}}