{"id":"W2965663995","doi":"10.1088/1755-1315/302/1/012098","title":"Analysis of economic development of the Arctic regions of Canada","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Linear subspace; Geography; Computer science; Recreation; The arctic; Representation (politics); Regional science; Environmental resource management; Econometrics; Operations research; Ecology; Mathematics; Environmental science; Political science; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003255866,0.0002842869,0.0002357289,0.001555605,0.0008023989,0.002062586,0.0005516974,0.0002504161,0.002547137],"category_scores_gemma":[0.0008907838,0.0001278158,0.0005558729,0.002485018,0.0004084983,0.0003403904,0.0006815555,0.0003967001,0.0001442546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02290266,"about_ca_system_score_gemma":0.01788672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9578543,"about_ca_topic_score_gemma":0.9349287,"domain_scores_codex":[0.9996296,0.00006123014,0.00001126394,0.00005356073,0.0001317858,0.0001124861],"domain_scores_gemma":[0.9996463,0.00004934564,0.00003212645,0.00001179116,0.0002140743,0.00004634568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009802316,0.00005610817,0.1937357,0.0001627421,0.0001966,0.0007439348,0.000875794,0.7024528,0.00140182,0.06786416,0.004670567,0.0277418],"study_design_scores_gemma":[0.00001093713,0.00005123807,0.226698,0.0001177403,0.00008340063,0.0001121925,0.003385738,0.7350008,0.001077059,0.007934995,0.02546184,0.0000659774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203489,0.0008315518,0.01344899,0.001202247,0.00003289224,0.00009032588,0.008007033,0.000103242,0.05593479],"genre_scores_gemma":[0.9916978,0.000354598,0.001720458,0.000018566,0.000002980007,0.00002061547,0.001049641,0.000008640469,0.005126769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04214573,"threshold_uncertainty_score":0.1661712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395556202914995,"score_gpt":0.2218795081729748,"score_spread":0.2079239461438248,"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."}}