{"id":"W2056356212","doi":"10.5339/qfarf.2013.sshp-012","title":"Training model to develop the Qatar workforce using emerging learning technologies","year":2013,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Forum Volume 2013 Issue 1","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Workforce; Flexibility (engineering); Presentation (obstetrics); Engineering; Engineering management; Knowledge management; Business; Computer science; Management; Economic growth; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001136237,0.0004189049,0.0001145547,0.0004456067,0.001645706,0.00122857,0.001264539,0.001298769,0.01517888],"category_scores_gemma":[0.0008229994,0.0001244993,0.0003571364,0.0002770889,0.0005468506,0.001165746,0.001906088,0.001048628,0.004655315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002195104,"about_ca_system_score_gemma":0.00606485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004778283,"about_ca_topic_score_gemma":0.0105041,"domain_scores_codex":[0.9994691,0.0001765102,0.00002224753,0.00005840051,0.000115508,0.0001582665],"domain_scores_gemma":[0.999514,0.00006297269,0.00003570748,0.00001844575,0.0001408404,0.0002279803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002501339,0.003793675,0.01055939,0.001097194,0.00002365845,0.001108827,0.0232928,0.02208382,0.0126561,0.2164949,0.1016046,0.607035],"study_design_scores_gemma":[0.0003909578,0.003468903,0.01429995,0.001709501,0.00005988681,0.001198684,0.02361271,0.04340782,0.006367141,0.04783182,0.8575455,0.0001071202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1462934,0.001232626,0.2193156,0.04599293,0.001639737,0.003940898,0.0005113545,0.00116122,0.5799122],"genre_scores_gemma":[0.5571887,0.002163359,0.2165087,0.005653637,0.0001613029,0.00333369,0.0005558418,0.00007445867,0.2143603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01517888,"threshold_uncertainty_score":0.05077845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104710841708632,"score_gpt":0.3895643443422932,"score_spread":0.2848535026336612,"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."}}