{"id":"W4311253709","doi":"10.1111/irj.12389","title":"Technological changes in the era of digitalization: What do collective agreements tell us?","year":2022,"lang":"en","type":"article","venue":"Industrial Relations Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Technological change; Business; Collective agreement; Collective bargaining; Market economy; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.007989389,0.0001575925,0.0003935874,0.002602279,0.004626856,0.0101502,0.0008471084,0.002052241,0.006124569],"category_scores_gemma":[0.02274529,0.0001911838,0.0003123221,0.005247237,0.01191208,0.01356505,0.003506628,0.002529709,0.0004321799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008011031,"about_ca_system_score_gemma":0.00630475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03237613,"about_ca_topic_score_gemma":0.05132598,"domain_scores_codex":[0.9957194,0.001377294,0.0001763244,0.0003673133,0.001406469,0.0009532608],"domain_scores_gemma":[0.982723,0.009523487,0.003557282,0.001250496,0.001768406,0.001177368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002184228,0.0001632838,0.1310823,0.001071791,0.00009433936,0.0006255377,0.1719846,0.001229163,0.0006599451,0.4252647,0.01468025,0.2529256],"study_design_scores_gemma":[0.00001395374,0.00009667462,0.2046765,0.002639957,0.00005929756,0.0002515689,0.3598309,0.0006838421,0.0006127618,0.1381767,0.2928683,0.00008962609],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6515429,0.03650755,0.00331824,0.1240185,0.0006648455,0.00004677293,0.0005589945,0.00003331111,0.1833089],"genre_scores_gemma":[0.986748,0.008267657,0.0003523359,0.002090889,0.0001652386,0.00001219952,0.00008119707,0.00001187081,0.002270646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03237613,"threshold_uncertainty_score":0.0643754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05554217402201519,"score_gpt":0.2835497617969305,"score_spread":0.2280075877749153,"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."}}