{"id":"W4367159201","doi":"10.7202/1078116ar","title":"The Decline of Nova Scotia Micmac Population, A.D. 1600-1850","year":2021,"lang":"en","type":"article","venue":"Culture","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Population decline; Population; Geography; Demography; History; Archaeology; Sociology","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":[0.0002402891,0.0001436318,0.0001146175,0.001643977,0.001528131,0.0007777472,0.0003850649,0.0002267295,0.00220559],"category_scores_gemma":[0.0008782018,0.00007725359,0.0001189174,0.001832073,0.0005529064,0.0002601921,0.0005373037,0.0003277346,0.0002715489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01532541,"about_ca_system_score_gemma":0.009261063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750865,"about_ca_topic_score_gemma":0.9887046,"domain_scores_codex":[0.9997858,0.00001060536,0.000009306002,0.00002906974,0.00005881726,0.000106343],"domain_scores_gemma":[0.999486,0.0000167876,0.00007739781,0.00001324126,0.0002756236,0.0001309088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002133245,0.00003855008,0.8851697,0.0002673404,0.00004172493,0.0008641456,0.01350387,0.000582574,0.002597048,0.004476977,0.01264074,0.07960401],"study_design_scores_gemma":[0.000002476179,0.00001521172,0.9875296,0.00003157652,0.000003765197,0.00007847154,0.001628184,0.00006545186,0.00007160694,0.0000416586,0.010528,0.000004008204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9795237,0.001389376,0.00006850989,0.0008966109,0.0000545895,0.00001581044,0.003551876,0.00001031452,0.01448905],"genre_scores_gemma":[0.9898314,0.0007604938,0.0001558548,0.0001633795,0.00001533429,0.000007763093,0.001276947,0.000004314858,0.007784564],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02491349,"threshold_uncertainty_score":0.1111942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433073648637799,"score_gpt":0.2726438372556466,"score_spread":0.2583131007692686,"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."}}