{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0069871,0.0001990893,0.0002891049,0.00007606015,0.003207599,0.0003615752,0.002774123,0.0004098697,0.1704251],"category_scores_gemma":[0.007358999,0.0002296202,0.0001624545,0.000174677,0.001523805,0.0005806664,0.001184342,0.0005038218,0.3826784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765452,"about_ca_system_score_gemma":0.0003188882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003012912,"about_ca_topic_score_gemma":0.001393297,"domain_scores_codex":[0.9968957,0.000336227,0.0003895983,0.001273844,0.0005039804,0.0006005956],"domain_scores_gemma":[0.9951186,0.0002051998,0.0004035231,0.003754399,0.0003602933,0.0001579557],"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":[0.00003971564,0.0003957928,0.2725905,0.00005402334,0.0001800363,0.00003139538,0.03504878,0.00004879422,0.003067458,0.5613105,0.08472013,0.04251279],"study_design_scores_gemma":[0.000499087,8.562931e-7,0.1391312,0.00004335296,0.0000287626,0.000004670746,0.003850383,0.0001317095,0.003587716,0.05997671,0.7922576,0.0004879401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1110398,0.000001433954,0.00113923,0.003734976,0.0007504038,0.0004834155,0.00000633304,0.0003108353,0.8825336],"genre_scores_gemma":[0.7953643,0.0001708242,0.001921737,0.000268104,0.0001904075,0.00007138913,0.000004759918,0.0000181329,0.2019903],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7075375,"threshold_uncertainty_score":0.9980901,"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."}}