{"id":"W2174477434","doi":"10.5339/qfarc.2014.sspp0187","title":"Developing The Qatari Workforce Using Emerging And Flexible Training Technology","year":2014,"lang":"en","type":"article","venue":"Qatar Foundation Annual Research Conference Proceedings Volume 2014 Issue 1","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Workforce; Test (biology); Training (meteorology); Quality (philosophy); Business; Presentation (obstetrics); Engineering; Marketing; Medical education; Operations management; Medicine; Economic growth","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":[0.001469398,0.0002520394,0.0001265939,0.0003555393,0.001159942,0.001444427,0.0004546586,0.0004785144,0.007108067],"category_scores_gemma":[0.00169696,0.0001162501,0.0002467353,0.0002546534,0.0003358585,0.001102814,0.001128462,0.0007141576,0.001812996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00092024,"about_ca_system_score_gemma":0.003578944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002993485,"about_ca_topic_score_gemma":0.007878194,"domain_scores_codex":[0.9994633,0.0001930416,0.00002232904,0.00005076943,0.0001237928,0.0001469083],"domain_scores_gemma":[0.9994804,0.0001152836,0.00007101923,0.00003524499,0.0001539201,0.0001440939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002093673,0.001891267,0.03273061,0.0009815472,0.0000230535,0.0004717642,0.02365058,0.002901651,0.04630059,0.01954143,0.02173076,0.8495674],"study_design_scores_gemma":[0.0002094634,0.009856259,0.1940052,0.002498176,0.0001085097,0.001821505,0.1134593,0.01510208,0.03610968,0.00949019,0.6171935,0.0001460771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244981,0.001925815,0.04925467,0.01192183,0.0004557247,0.001088621,0.0004168239,0.0004340781,0.1100043],"genre_scores_gemma":[0.8589702,0.002923017,0.09303405,0.002729586,0.00009070369,0.0005357434,0.0003654672,0.00004379995,0.04130748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007108067,"threshold_uncertainty_score":0.02377886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1559382755628302,"score_gpt":0.4320823533496767,"score_spread":0.2761440777868465,"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."}}