{"id":"W2946585139","doi":"10.71781/12867","title":"Processus de la retraite et carrière atypique au Canada","year":2018,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Sociology; Art","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":[0.001282831,0.0002949087,0.000348696,0.001401458,0.004148513,0.001725527,0.0009496183,0.0006818788,0.007345736],"category_scores_gemma":[0.005609172,0.0002835515,0.0003998945,0.001583782,0.00219499,0.0008821028,0.001277386,0.0009725407,0.0007078406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01190219,"about_ca_system_score_gemma":0.02575635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9327862,"about_ca_topic_score_gemma":0.942962,"domain_scores_codex":[0.9982383,0.0001581607,0.00008658636,0.0002625596,0.0005978329,0.0006564771],"domain_scores_gemma":[0.9966742,0.000397727,0.0007921599,0.0001812052,0.001490435,0.0004643072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003911259,0.00006709602,0.8821029,0.0003171791,0.00006353535,0.004338677,0.03547891,0.0001978165,0.002585751,0.005442747,0.007284497,0.06172973],"study_design_scores_gemma":[0.00002458325,0.0002047788,0.866599,0.001029985,0.0001736289,0.00820069,0.06942321,0.0005528112,0.002070574,0.001511846,0.05009058,0.0001183168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642901,0.006870805,0.0009099304,0.003003414,0.0001107402,0.0001529391,0.001452388,0.00004146414,0.02316817],"genre_scores_gemma":[0.9840366,0.003917827,0.0006894175,0.0006861481,0.00002473581,0.00003494811,0.0004317107,0.00001456479,0.01016399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06721377,"threshold_uncertainty_score":0.1352192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052679438277716,"score_gpt":0.2639074022390399,"score_spread":0.2433806078562628,"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."}}