{"id":"W1526236362","doi":"","title":"New Brunswick’s Perfect Demographic Storm","year":2012,"lang":"fr","type":"article","venue":"Journal of New Brunswick Studies / Revue d’études sur le Nouveau-Brunswick","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Geography; Political science; Census; Humanities; Ethnology; Population; History; Demography; Sociology; Art","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":[0.000593064,0.0001471349,0.000135182,0.0006398576,0.003738116,0.00253214,0.0005681596,0.0002878315,0.008412302],"category_scores_gemma":[0.001838298,0.0001740469,0.0001364825,0.002162518,0.001476133,0.001159328,0.001506223,0.000920239,0.0004395246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02352516,"about_ca_system_score_gemma":0.02978886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9430813,"about_ca_topic_score_gemma":0.9803925,"domain_scores_codex":[0.9995116,0.00009610043,0.00002121564,0.00006152492,0.00008765922,0.0002218928],"domain_scores_gemma":[0.9993036,0.0001448202,0.0001181577,0.00004718971,0.0002327095,0.0001535594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000108938,0.00006987803,0.4495671,0.0007510018,0.00005936968,0.003959349,0.1401908,0.001587118,0.003527481,0.1413801,0.1115863,0.1472126],"study_design_scores_gemma":[0.000009485794,0.0000197748,0.3723094,0.000628137,0.00002470545,0.0002946242,0.1798299,0.0003020166,0.0006155283,0.004689329,0.4412233,0.00005394562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.678167,0.005863026,0.001825126,0.05351966,0.0005931097,0.0002327783,0.007765674,0.00005123668,0.2519824],"genre_scores_gemma":[0.9506178,0.005366093,0.001604273,0.002353458,0.00003447153,0.00009880721,0.00155527,0.00002750174,0.03834229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05691874,"threshold_uncertainty_score":0.1706878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04638169295593766,"score_gpt":0.2928306594427784,"score_spread":0.2464489664868407,"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."}}