{"id":"W2899169262","doi":"10.3138/cpp.2017-070","title":"Is There Evidence of an Information and Communication Technology Labour Shortage in the Canadian Labour Force Survey?","year":2018,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Microdata (statistics); Overtime; Information and Communications Technology; Economic shortage; Labour economics; Incentive; Context (archaeology); Immigration; Wage; Demographic economics; Business; Economics; Political science; Census; Sociology; Law; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004897993,0.0002893167,0.0008260919,0.005810813,0.003972161,0.002373668,0.002614483,0.001131156,0.005041028],"category_scores_gemma":[0.02001724,0.0004879704,0.0005744354,0.01920035,0.00195339,0.001612178,0.001729526,0.001400651,0.0004369171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03286411,"about_ca_system_score_gemma":0.05969772,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962562,"about_ca_topic_score_gemma":0.9974616,"domain_scores_codex":[0.9953333,0.0002700347,0.0002828671,0.0004970151,0.00193538,0.001681493],"domain_scores_gemma":[0.9843217,0.00149345,0.003370936,0.0006140861,0.008002531,0.00219734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001123971,0.00004782779,0.9456872,0.0003811437,0.00009575245,0.0001289759,0.004104353,0.0001604054,0.0001528661,0.002255703,0.02332544,0.02354796],"study_design_scores_gemma":[0.000006218507,0.000009011483,0.9895136,0.0002250223,0.00002033383,0.00002326914,0.002878152,0.0001825783,0.00003042562,0.0002001699,0.00689408,0.00001692525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8546557,0.01499036,0.000666116,0.05249885,0.0004459644,0.0001330811,0.04627195,0.00005417507,0.03028383],"genre_scores_gemma":[0.98061,0.005072559,0.0003503814,0.003360223,0.0001018405,0.00005059207,0.008738305,0.00001816237,0.001697997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03286411,"threshold_uncertainty_score":0.2384469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04419421089425869,"score_gpt":0.2722092544450231,"score_spread":0.2280150435507645,"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."}}