{"id":"W3027097944","doi":"","title":"АДАПТАЦИЯ И ПИТАНИЕ ЧЕЛОВЕКА В ЭКСТРЕМАЛЬНЫХ УСЛОВИЯХ АРКТИКИ","year":2013,"lang":"ru","type":"article","venue":"Инновации и продовольственная безопасность","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Arctic; Geopolitics; Frontier; Geography; The arctic; Exaggeration; Natural resource economics; Economy; Environmental protection; Ecology; Economics; Political science; Oceanography; Geology; Biology; Demography; Sociology","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":[0.0007684613,0.0003511059,0.0002084694,0.001364797,0.001878586,0.003584573,0.0002831689,0.0005642599,0.01233284],"category_scores_gemma":[0.001464576,0.0002969271,0.0003523392,0.001419982,0.003013944,0.001130444,0.0009678326,0.001417309,0.004980653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001284204,"about_ca_system_score_gemma":0.002696518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00491937,"about_ca_topic_score_gemma":0.005432959,"domain_scores_codex":[0.9991785,0.0001386914,0.00005345187,0.0001706735,0.0003362452,0.0001223825],"domain_scores_gemma":[0.9993542,0.0001455458,0.0001184971,0.00008822725,0.0002361868,0.0000572501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007818575,0.00004010454,0.00245559,0.0002557499,0.00002056943,0.001151346,0.004376969,0.0006623056,0.009144987,0.7505225,0.00916294,0.2221287],"study_design_scores_gemma":[0.00001200752,0.00004612164,0.003418011,0.0001041574,0.00001878903,0.001456009,0.001232454,0.0003561359,0.005100955,0.07214066,0.916082,0.00003257611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07326321,0.02061335,0.07515762,0.004473133,0.002893806,0.0002041638,0.0006167435,0.0004797582,0.8222982],"genre_scores_gemma":[0.74666,0.01743784,0.0652142,0.0005799467,0.0006613485,0.0003568259,0.0004008792,0.0002746799,0.1684143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01233284,"threshold_uncertainty_score":0.04125744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03170596688436562,"score_gpt":0.2068179464757936,"score_spread":0.175111979591428,"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."}}