{"id":"W2783120625","doi":"10.17605/osf.io/49ps7","title":"Competence SMT Targets","year":2017,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Innovation, Technology, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Competence (human resources); Computer science; Knowledge management; Psychology; Social psychology","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":[0.003694488,0.001192919,0.0007731278,0.001614117,0.002251209,0.006325129,0.001302492,0.002706393,0.1514856],"category_scores_gemma":[0.01912533,0.0004087458,0.0007973334,0.001144681,0.001169524,0.005482544,0.007359487,0.003659238,0.09065287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002435856,"about_ca_system_score_gemma":0.002874218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002336159,"about_ca_topic_score_gemma":0.001850783,"domain_scores_codex":[0.9932085,0.001553557,0.0002438193,0.001006355,0.002691391,0.001296464],"domain_scores_gemma":[0.9883327,0.002233338,0.000657104,0.001868047,0.004432516,0.002476349],"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":[0.000382902,0.0003641779,0.006171927,0.0003569005,0.00003439351,0.000518851,0.002567887,0.00116601,0.005388386,0.5510223,0.2906506,0.1413756],"study_design_scores_gemma":[0.0001034308,0.0002781004,0.008988005,0.0002435396,0.00003636807,0.0008569253,0.002595156,0.008379588,0.009172985,0.2000486,0.7691945,0.0001026926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01916633,0.0001155974,0.03098872,0.003814934,0.0003968035,0.0002941084,0.002996278,0.00215272,0.9400745],"genre_scores_gemma":[0.4703145,0.0002673051,0.0203566,0.00258276,0.0004467074,0.001218471,0.009993131,0.002904228,0.4919163],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1514856,"threshold_uncertainty_score":0.5067698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441122451287495,"score_gpt":0.3085044193947792,"score_spread":0.2840931948819042,"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."}}