{"id":"W3033361737","doi":"10.1017/s0032247420000200","title":"The mining resource cycle and settlement demography in Malå, Northern Sweden","year":2020,"lang":"en","type":"article","venue":"Polar Record","topic":"Mining and Resource Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Vetenskapsrådet; Svenska Forskningsrådet Formas","keywords":"Livelihood; Geography; Settlement (finance); Demographic change; Population; Boom; Resource (disambiguation); Demographic transition; Economic geography; Bust; Socioeconomics; Demographic economics; Demography; Fertility; Sociology; Business; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001654554,0.0001000192,0.00009515879,0.00004531856,0.00008861082,0.00005189599,0.0001280652,0.00002916451,0.00001367859],"category_scores_gemma":[0.00001762056,0.00007781449,0.00003183611,0.0001606252,0.00002169788,0.00001911407,0.0000694382,0.0001266346,0.00001783574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001526009,"about_ca_system_score_gemma":0.000002049319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003870442,"about_ca_topic_score_gemma":0.0002376876,"domain_scores_codex":[0.9993564,0.00003182705,0.0001573554,0.0001368113,0.00009779429,0.0002198045],"domain_scores_gemma":[0.9997255,0.00005153036,0.00001981214,0.0001234503,0.000004142467,0.00007552528],"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":[0.00003589815,0.00001651381,0.5319151,0.0001382608,0.0001424327,0.0000344427,0.009145129,0.007522527,0.0002204016,0.00008641978,0.01010978,0.4406331],"study_design_scores_gemma":[0.0003115686,0.00005259762,0.02798012,0.00003819848,0.00001468747,0.000001595689,0.002635773,0.03276531,0.00004499821,0.00001867432,0.9359501,0.0001863767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846321,0.001418628,0.0001659482,0.001790047,0.00007037208,0.0001252079,0.000005543424,0.0001294407,0.01166269],"genre_scores_gemma":[0.9988892,0.0001407812,0.0004621232,0.0002393085,0.0001028909,0.00001364848,0.000004188416,0.00002967747,0.0001181524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9258403,"threshold_uncertainty_score":0.3173183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009632742107235904,"score_gpt":0.1919978847466167,"score_spread":0.1823651426393808,"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."}}