{"id":"W3032274378","doi":"","title":"툰드라의 기후 특성과 관련된 경관 - 캐나다 캠브리지 베이를 사례로 -","year":2018,"lang":"ko","type":"article","venue":"","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Permafrost; Arctic; Geography; Snow; Bay; Climate change; The arctic; Indigenous; Environmental resource management; Environmental protection; Environmental science; Environmental planning; Archaeology; Meteorology; Ecology; 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":[0.0003845757,0.0001226405,0.0001283674,0.0006079435,0.006035596,0.003032716,0.0004241143,0.0002587741,0.005048689],"category_scores_gemma":[0.0006713145,0.0001037113,0.000120044,0.001672396,0.002117058,0.0007616988,0.0008195474,0.0002982611,0.0003289137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008386546,"about_ca_system_score_gemma":0.006457432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5549105,"about_ca_topic_score_gemma":0.8287535,"domain_scores_codex":[0.9996254,0.00008854576,0.00001177581,0.0000464521,0.00009511811,0.0001326297],"domain_scores_gemma":[0.999678,0.00005292102,0.00005652792,0.00001530917,0.0001130569,0.00008422009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009417261,0.0001073096,0.5089456,0.0003017421,0.00002493385,0.006781612,0.3883698,0.0005626466,0.005104171,0.01610263,0.003721169,0.06988421],"study_design_scores_gemma":[0.000003421714,0.00004922547,0.3279276,0.0001061251,0.00001748532,0.001424299,0.6126992,0.0002526494,0.0009047565,0.0006840366,0.05590951,0.00002174046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653834,0.0002611229,0.0004075081,0.0006514979,0.00001343436,0.00003856176,0.0001136698,0.000006676076,0.03312417],"genre_scores_gemma":[0.9952843,0.0001594902,0.000351322,0.00006093445,0.000002365954,0.00001161781,0.00003287938,0.000002434195,0.004094735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4450895,"threshold_uncertainty_score":0.8954214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031934716440395,"score_gpt":0.3025871113408919,"score_spread":0.272267764176488,"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."}}