{"id":"W1949634154","doi":"10.7202/027614ar","title":"The Assessment of Long-Term Manpower Requirements","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Term (time); Extrapolation; Demand forecasting; Operations research; Manpower planning; Operations management; Actuarial science; Computer science; Economics; Engineering; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001398941,0.0004125404,0.0002568293,0.002557458,0.0003371584,0.0009652283,0.0005915403,0.0004649511,0.003344544],"category_scores_gemma":[0.00664059,0.0001341462,0.0002663575,0.001741841,0.0003119677,0.001605059,0.0006083388,0.000473986,0.0008129934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007459586,"about_ca_system_score_gemma":0.0004623351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007463321,"about_ca_topic_score_gemma":0.01305209,"domain_scores_codex":[0.999438,0.0001053872,0.00004075785,0.00008503257,0.0002706562,0.00006016948],"domain_scores_gemma":[0.9952095,0.002128812,0.0008386951,0.0002541739,0.001379805,0.0001890907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002678093,0.0001360387,0.533622,0.000304188,0.0001344522,0.0002789925,0.001463898,0.07589982,0.003260821,0.01738181,0.005164387,0.3620857],"study_design_scores_gemma":[0.000007781442,0.0005010546,0.75131,0.0002807005,0.0000534051,0.0004466657,0.002806836,0.1738932,0.007354886,0.02248341,0.04074835,0.0001136522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7569631,0.003565275,0.1781997,0.001069602,0.0001548428,0.0001213432,0.004693375,0.0002981155,0.05493458],"genre_scores_gemma":[0.9777608,0.0008785398,0.01414581,0.00004014348,0.00005647005,0.00004495295,0.001289125,0.00002518796,0.005758855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007463321,"threshold_uncertainty_score":0.01483971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04641862313671984,"score_gpt":0.2885153211570611,"score_spread":0.2420966980203413,"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."}}