{"id":"W4319263038","doi":"10.20944/preprints202302.0069.v1","title":"The OSQE Model: The AI Cycle Against the Shortage of Skilled professionals：A Holistic Solution Approach Based on Artificial Intelligence in Times of Demographic Change","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Economic shortage; Order (exchange); Action (physics); Business; Marketing; Public relations; Knowledge management; Process management; Computer science; Political science; Government (linguistics)","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":[0.002517844,0.001078669,0.0005347222,0.00139097,0.001189002,0.005570147,0.002327065,0.002653727,0.006964692],"category_scores_gemma":[0.003038299,0.0004031885,0.0008439027,0.00106448,0.003608085,0.005507135,0.004547772,0.001967447,0.001821316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002702951,"about_ca_system_score_gemma":0.006874757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005005487,"about_ca_topic_score_gemma":0.00528483,"domain_scores_codex":[0.9977955,0.000917643,0.0001096971,0.0002775682,0.0005910171,0.0003086538],"domain_scores_gemma":[0.9987351,0.0003508045,0.0001520148,0.0001789215,0.0003017645,0.0002813052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001072922,0.0001602301,0.001550191,0.0003851272,0.00004405349,0.0002110858,0.001287555,0.05013023,0.001554139,0.8295035,0.01293497,0.1021315],"study_design_scores_gemma":[0.0001160623,0.0003506332,0.001357603,0.0004138749,0.00005935724,0.0003801247,0.001653697,0.2032409,0.001938104,0.6053329,0.1850726,0.00008426966],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02688765,0.00171131,0.7785376,0.02438145,0.0004850077,0.0006271449,0.0005566106,0.001583239,0.1652301],"genre_scores_gemma":[0.4285622,0.002226836,0.5222564,0.003418827,0.0001902892,0.001109234,0.0007523457,0.0003299877,0.04115392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006964692,"threshold_uncertainty_score":0.02329922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1968648935995765,"score_gpt":0.3792533885882565,"score_spread":0.18238849498868,"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."}}