{"id":"W2099217977","doi":"","title":"Les générations X et Y du Québec, vraiment différentes des précédentes ?","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Baby boomers; Generation x; Generation y; Baby boom; Order (exchange); Mythology; Face (sociological concept); Sociology; Humanities; Demographic economics; Economics; Demography; Art; Business; Population; Social science; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0005209568,0.0002897705,0.0002102661,0.0004653896,0.00895358,0.003138205,0.0004928368,0.0009051636,0.01113174],"category_scores_gemma":[0.0009957459,0.000156035,0.000211489,0.0007682889,0.00313893,0.002070436,0.0007529499,0.001585411,0.0004782257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02621865,"about_ca_system_score_gemma":0.02296653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837802,"about_ca_topic_score_gemma":0.9885669,"domain_scores_codex":[0.9994399,0.0001278071,0.000009075998,0.00007145215,0.00007687637,0.0002748906],"domain_scores_gemma":[0.9995154,0.00007167656,0.00005703795,0.00002158513,0.0001321122,0.0002021392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003207696,0.0001579705,0.1771364,0.0002543789,0.0001010389,0.004818094,0.2962275,0.0007424439,0.003831249,0.2357223,0.07241047,0.2082774],"study_design_scores_gemma":[0.00002554567,0.00009336753,0.3220378,0.0004788865,0.00003272218,0.0008403013,0.2017332,0.000380214,0.0004401687,0.005235392,0.4685972,0.000105302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7790086,0.01757055,0.001252045,0.05047375,0.0009094928,0.00007777405,0.0007757745,0.00005212627,0.14988],"genre_scores_gemma":[0.9053428,0.005030904,0.0005801065,0.004344677,0.00006365302,0.00003436486,0.0001940742,0.00002010402,0.0843894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621865,"threshold_uncertainty_score":0.1902305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05129115633401483,"score_gpt":0.2952715782205822,"score_spread":0.2439804218865674,"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."}}