{"id":"W2121399560","doi":"10.1080/10494820701331558","title":"The validation and brokering of competence: Issues of trust and technology","year":2007,"lang":"en","type":"article","venue":"Interactive Learning Environments","topic":"Competency Development and Evaluation","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sydney Steel (Canada); Université de Montréal; Simon Fraser University; British Columbia Institute of Technology","funders":"Simon Fraser University; Athabasca University","keywords":"Competence (human resources); Psychology; Technology integration; Knowledge management; Computer science; Educational technology; Data science; Mathematics education; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003772118,0.00006042446,0.00009263923,0.00009007542,0.00006802237,0.000005490679,0.00005539667,0.00004362041,0.00007538842],"category_scores_gemma":[0.00008752231,0.00004989831,0.000009754608,0.00006356236,0.0001573393,0.0000580481,0.00006052253,0.0001310659,0.000009418651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001861893,"about_ca_system_score_gemma":0.000002602278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842526,"about_ca_topic_score_gemma":0.000002594371,"domain_scores_codex":[0.9994299,0.00005302803,0.0001902356,0.0001246764,0.0001041652,0.00009801077],"domain_scores_gemma":[0.9995092,0.0002093055,0.0001751955,0.00008007976,0.00001342921,0.00001279376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001458564,0.00005164942,0.7527686,0.000008940822,0.0001028821,0.000001413917,0.006654444,0.00002207384,0.1026151,0.0007724341,0.00002606713,0.1368306],"study_design_scores_gemma":[0.0003423826,0.000150317,0.9367282,0.00003658672,0.00001435405,0.000007008341,0.005341616,0.00009753141,0.04984603,0.0003933637,0.006973996,0.00006865623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963512,0.0003168344,0.0007621437,0.0001334263,0.0001114922,0.00008710813,3.635342e-7,0.000006765765,0.002230681],"genre_scores_gemma":[0.9981869,0.00009078423,0.0002964223,0.000003629926,0.000009806891,0.000004514392,0.00000247968,0.000005859591,0.001399618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1839596,"threshold_uncertainty_score":0.2034794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204365698888263,"score_gpt":0.3173063396556979,"score_spread":0.3052626826668153,"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."}}