{"id":"W2032683857","doi":"10.1111/j.1468-0084.2006.00151.x","title":"Occupational Labour Demand and the Sources of Non‐neutral Technical Change*","year":2006,"lang":"en","type":"article","venue":"Oxford Bulletin of Economics and Statistics","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Technical change; Dispose pattern; Neutrality; Context (archaeology); Economics; Econometrics; Computer science; Macroeconomics; Law","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":[0.002110467,0.0001658701,0.0003215322,0.00127836,0.0003280578,0.001708616,0.0004619767,0.0005224038,0.004825775],"category_scores_gemma":[0.01185339,0.0002053751,0.0003388323,0.0011883,0.001112214,0.001006521,0.001155782,0.0006171659,0.0006241897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001260783,"about_ca_system_score_gemma":0.0003919153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002421346,"about_ca_topic_score_gemma":0.001566004,"domain_scores_codex":[0.9989198,0.0002969755,0.00008704353,0.0001452941,0.0004118334,0.0001390394],"domain_scores_gemma":[0.9887228,0.006762917,0.002011839,0.001137855,0.001049293,0.000315278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005042165,0.0002686115,0.8187955,0.0001482398,0.0002123236,0.0007175012,0.00300934,0.02256633,0.006815075,0.08493988,0.0009726259,0.06105031],"study_design_scores_gemma":[0.00002288283,0.0001260442,0.8904793,0.00004617921,0.00003784427,0.0003221224,0.003536365,0.02908617,0.001843212,0.06892142,0.00552012,0.00005837499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978354,0.0002140972,0.006330411,0.0007771422,0.00001231014,0.00002207369,0.0005257876,0.00001748463,0.01374667],"genre_scores_gemma":[0.9986081,0.0000356489,0.0002330836,0.00001397347,0.000008703465,0.000004549323,0.0001502147,0.000002765825,0.0009430082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004825775,"threshold_uncertainty_score":0.0161438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104671339801192,"score_gpt":0.2173217031332377,"score_spread":0.1962749897352258,"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."}}