{"id":"W264325885","doi":"","title":"Sectoral Labour Market Adjustment in the Provinces of Ontario and Quebec","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repartition; Economics; Sociology; Humanities; Geography; Political science; Demographic economics; Demography; Welfare economics; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0003455598,0.0002121449,0.0002987478,0.0004901644,0.001144426,0.001081528,0.0009233945,0.0004352622,0.004966247],"category_scores_gemma":[0.001703828,0.0001684573,0.0004095024,0.001284159,0.0005659229,0.0002891352,0.0004634336,0.000296873,0.0002963205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03279794,"about_ca_system_score_gemma":0.0153038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939908,"about_ca_topic_score_gemma":0.9949973,"domain_scores_codex":[0.9996884,0.00004473979,0.000008621891,0.00005043016,0.00004854291,0.0001593231],"domain_scores_gemma":[0.9993831,0.00007658852,0.0001404259,0.00003965168,0.0002080499,0.0001521144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004827348,0.0001140014,0.822405,0.00008507025,0.0001758638,0.0004958293,0.002919884,0.1256244,0.002183431,0.01415452,0.006597662,0.0247615],"study_design_scores_gemma":[0.00004470457,0.00004456546,0.8724563,0.00002326018,0.0000380774,0.00004306188,0.002423777,0.1137962,0.0001901308,0.001370907,0.009534669,0.0000343506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895741,0.000171434,0.0008340582,0.000646971,0.00001045456,0.00004170378,0.002587606,0.00002885699,0.00610471],"genre_scores_gemma":[0.9946273,0.0001035486,0.0002565159,0.00003464173,0.000002433928,0.00001244467,0.0005863631,0.000005969362,0.004370742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03279794,"threshold_uncertainty_score":0.2379668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225794896972919,"score_gpt":0.1842253641090334,"score_spread":0.1519674151393042,"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."}}