{"id":"W1515652527","doi":"10.7202/038873ar","title":"Flexibility","year":2010,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Memorial University of Newfoundland; McMaster University","funders":"","keywords":"Microdata (statistics); Flexibility (engineering); Schedule; Work–life balance; Work (physics); Work schedule; Business; Operations management; Part-time employment; Marketing; Labour economics; Economics; Census; Engineering; Scheduling (production processes); Management; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006071831,0.00006876259,0.00007801168,0.00005625195,0.000597412,0.00004502539,0.0002086504,0.0003593338,0.002275917],"category_scores_gemma":[0.0009234984,0.0000706299,0.00003926876,0.000363184,0.0003858154,0.0001803223,0.00002901144,0.0006357966,0.0004046521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000480436,"about_ca_system_score_gemma":0.00031657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00036676,"about_ca_topic_score_gemma":0.002703617,"domain_scores_codex":[0.9991462,0.00008640599,0.0001403311,0.0001771346,0.0002270143,0.0002229494],"domain_scores_gemma":[0.999189,0.0003030055,0.00005095468,0.000270865,0.00008217125,0.0001040248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000569634,0.0001461707,0.6811771,7.35677e-7,0.00002225228,0.000001760783,0.01440215,0.00006679812,0.000346013,0.2184151,0.04742818,0.03798804],"study_design_scores_gemma":[0.0001194399,0.000007194777,0.1047581,0.000006935053,0.000008033042,6.126527e-7,0.006827128,0.00001039156,0.00007325337,0.007940183,0.8801118,0.0001370128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6280465,0.00008692055,0.00005232879,0.003052301,0.0005289813,0.000127695,0.00000388139,0.0001793528,0.367922],"genre_scores_gemma":[0.9815271,0.00006638221,0.0006229017,0.00002996993,0.000488658,0.00001180248,0.000004280627,0.000007535014,0.01724139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8326836,"threshold_uncertainty_score":0.9986361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949626102139024,"score_gpt":0.3213778564070637,"score_spread":0.2718815953856734,"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."}}