{"id":"W3035002794","doi":"10.1177/1024529420930323","title":"Financialization and union decline in Canada: The influence on sectors and core industries","year":2020,"lang":"en","type":"article","venue":"Competition & Change","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Université TÉLUQ","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Financialization; Restructuring; Context (archaeology); Economics; Politics; European union; Panel data; Market economy; Economy; International economics; Finance; Political science; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009978876,0.00008327934,0.0001501756,0.00004065183,0.00008129238,0.00002588418,0.00006052618,0.00004732385,0.00002707354],"category_scores_gemma":[0.00003299888,0.0000750696,0.00000802772,0.0002419444,0.00003822364,0.0001120334,0.00003970185,0.000109635,0.000005525428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008145111,"about_ca_system_score_gemma":0.00003915226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2173778,"about_ca_topic_score_gemma":0.4733255,"domain_scores_codex":[0.9994657,0.00001279086,0.0001936896,0.0001849804,0.00002895328,0.000113872],"domain_scores_gemma":[0.9997213,0.00004194349,0.0001112678,0.00006721605,0.00001575017,0.00004249134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004467225,0.00003327116,0.7019997,0.00007733868,0.000008017476,0.0000181033,0.005283986,0.0002059339,0.00005041323,0.2814853,0.001042759,0.009750516],"study_design_scores_gemma":[0.0002861351,0.00004808893,0.8271638,0.00004305291,0.00000124393,0.000001530027,0.00006612594,0.0009379013,0.00002845434,0.0005463086,0.1707642,0.0001132376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926818,0.0006707842,0.00004990377,0.005729665,0.0001020329,0.0001571199,0.00009985911,0.00001118103,0.0004976314],"genre_scores_gemma":[0.9930449,0.0009795672,0.000008814053,0.00578081,0.0001165171,0.00001738269,0.00003238503,0.000006045151,0.00001357907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.280939,"threshold_uncertainty_score":0.7878338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07940634175559713,"score_gpt":0.2165853123771389,"score_spread":0.1371789706215417,"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."}}