{"id":"W2161951215","doi":"10.7202/007645ar","title":"Greenland’s demography, 1700-2000: The interplay of economic activities and religion","year":2004,"lang":"en","type":"article","venue":"Études/Inuit/Studies","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Snow; Colonialism; Demography; Seal (emblem); History; Archaeology; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002567295,0.0003226807,0.0001848665,0.002110497,0.0007734523,0.001417434,0.0004213158,0.0003498089,0.002246523],"category_scores_gemma":[0.0004888367,0.0001390774,0.0001821086,0.004807206,0.000683749,0.001344292,0.001125269,0.0005568468,0.0005136276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002880835,"about_ca_system_score_gemma":0.001051356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3364662,"about_ca_topic_score_gemma":0.5724705,"domain_scores_codex":[0.9998922,0.00002108779,0.000005711714,0.00002114914,0.00001444756,0.00004536431],"domain_scores_gemma":[0.999702,0.00002352151,0.0001014983,0.00001583252,0.00005155003,0.0001053841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002156228,0.0001234182,0.8599376,0.0002793077,0.000166493,0.001338025,0.04992158,0.0008077567,0.001255503,0.01034585,0.02598656,0.0496223],"study_design_scores_gemma":[0.000002588752,0.00002490824,0.9675964,0.00007197123,0.000007309203,0.0001289136,0.00866024,0.0001029552,0.00004310438,0.0003073625,0.02304623,0.000008034176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776579,0.002276604,0.0001055903,0.001604746,0.00003543017,0.00001423484,0.009821472,0.00001561212,0.008468485],"genre_scores_gemma":[0.9879462,0.001581517,0.0001872207,0.0004035379,0.00002901214,0.00001718221,0.006072931,0.00001494365,0.003747398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3364662,"threshold_uncertainty_score":0.6690155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399367068970371,"score_gpt":0.3752686069621907,"score_spread":0.341274936272487,"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."}}