{"id":"W4288753130","doi":"10.1332/175795921x16562384510850","title":"Growing Up in Québec: the experience of a pilot study","year":2022,"lang":"en","type":"article","venue":"Longitudinal and Life Course Studies","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quebec Statistical Institute","funders":"","keywords":"Psychology; Poverty; Gerontology; Geography; Economic growth; Medicine; 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":[0.007796392,0.0006587476,0.0007300774,0.0008640313,0.014155,0.003490546,0.002718965,0.001686173,0.005075739],"category_scores_gemma":[0.0103685,0.0003794736,0.0005143466,0.002910416,0.003480127,0.001752629,0.003650415,0.003244411,0.0005636748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04273744,"about_ca_system_score_gemma":0.064294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731885,"about_ca_topic_score_gemma":0.9891657,"domain_scores_codex":[0.9942707,0.002665132,0.0001230083,0.0003972084,0.0007035359,0.001840424],"domain_scores_gemma":[0.9873006,0.002539307,0.0004317511,0.0005983798,0.003727812,0.005402322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009092473,0.004428346,0.223129,0.000583349,0.0001479169,0.008093127,0.4837719,0.0008213868,0.002254572,0.004599449,0.08576481,0.1854968],"study_design_scores_gemma":[0.0002186119,0.001659999,0.2857592,0.0006849836,0.00009263497,0.0006672057,0.5959238,0.00153377,0.0004913573,0.0006395137,0.1121221,0.0002067114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591718,0.001899114,0.00122236,0.02018186,0.0003018906,0.001278466,0.002230092,0.00009647917,0.01361795],"genre_scores_gemma":[0.9697731,0.002372854,0.002571989,0.007152608,0.0001014853,0.001123938,0.001442924,0.0000966146,0.01536455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04273744,"threshold_uncertainty_score":0.3100833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2637947866687313,"score_gpt":0.4209305833447224,"score_spread":0.1571357966759911,"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."}}