{"id":"W1937706007","doi":"10.25336/p6jp5r","title":"Adult mortality in preindustrial Quebec","year":2013,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Quebec Statistical Institute","funders":"","keywords":"Residence; Demography; Cohort; Geography; Mortality rate; Rank (graph theory); Life table; Population; Sociology; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004413381,0.0003573234,0.0002729339,0.002432095,0.001534444,0.0006975782,0.0006504761,0.0003287616,0.00272675],"category_scores_gemma":[0.0008567905,0.0001206529,0.0004911333,0.003702207,0.0003500384,0.0002409944,0.0004125391,0.0004194951,0.0003279243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01744721,"about_ca_system_score_gemma":0.007631986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924091,"about_ca_topic_score_gemma":0.9952501,"domain_scores_codex":[0.9996345,0.0000394095,0.00002142657,0.00005756304,0.0001045073,0.0001425271],"domain_scores_gemma":[0.9993008,0.0000358014,0.00009930135,0.00002406436,0.0003978643,0.0001420409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001221976,0.0000438185,0.9839139,0.0000471569,0.0001193044,0.0001186245,0.0004328851,0.0003943811,0.0001996634,0.0001963464,0.003641889,0.01076981],"study_design_scores_gemma":[0.00000317533,0.00001597284,0.9981136,0.00001042242,0.000009727014,0.00002398732,0.0001378937,0.00007940589,0.00002699947,0.000007075683,0.001567199,0.000004626974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615173,0.00409456,0.0001465866,0.0003635458,0.0000333266,0.00005050947,0.02674231,0.00004206715,0.007009708],"genre_scores_gemma":[0.9802554,0.00197339,0.000204572,0.0001333747,0.00002233565,0.00003578176,0.01186184,0.00000856624,0.005504827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01744721,"threshold_uncertainty_score":0.1265889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06725122263034523,"score_gpt":0.3272363696130139,"score_spread":0.2599851469826687,"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."}}