{"id":"W2905498923","doi":"10.1016/j.labeco.2020.101940","title":"The ins and outs of involuntary part-time employment","year":2020,"lang":"en","type":"article","venue":"Labour Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Involuntary unemployment; Unemployment; Economics; Labour economics; Jump; Part-time employment; Work (physics); Dynamics (music); Macroeconomics; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002248551,0.0001132835,0.0003690756,0.001042038,0.002156284,0.003989365,0.0006904464,0.001135004,0.008280992],"category_scores_gemma":[0.008345141,0.0002744945,0.000301044,0.001138799,0.004266581,0.004545887,0.002626675,0.002815088,0.0004817526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076099,"about_ca_system_score_gemma":0.0009653699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005091082,"about_ca_topic_score_gemma":0.01390526,"domain_scores_codex":[0.998869,0.0003219281,0.00004892583,0.0001358061,0.0002129579,0.0004114348],"domain_scores_gemma":[0.9940321,0.002315401,0.001098339,0.0007287381,0.0004394508,0.001385883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007532623,0.0002108041,0.1130886,0.00007839993,0.00005932126,0.0005369961,0.01010177,0.0007763252,0.0010388,0.7733589,0.01235993,0.08763681],"study_design_scores_gemma":[0.00002771484,0.0001231219,0.3617009,0.0004031022,0.00004384503,0.0006460347,0.02706443,0.00261956,0.0008698525,0.5524469,0.05399195,0.00006261481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572481,0.003563925,0.003643137,0.02279503,0.0003780613,0.00001698727,0.0006579277,0.00004115467,0.1116556],"genre_scores_gemma":[0.995005,0.0003866676,0.0001534269,0.0004200484,0.0001412631,0.000004190761,0.0000541822,0.00002039032,0.003815022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008280992,"threshold_uncertainty_score":0.02770269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454499795624287,"score_gpt":0.1944016856932709,"score_spread":0.169856687737028,"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."}}