{"id":"W2499505896","doi":"","title":"NAO-Influence on Temperature Trends in Norway and Canada for the last 50 Years","year":2015,"lang":"en","type":"dissertation","venue":"BIBSYS Brage (BIBSYS (Norway))","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Regional science; Climatology; Geology","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":[0.0003505906,0.000243283,0.0002852717,0.0006646607,0.0009459187,0.001394504,0.0003799175,0.0002536168,0.001952856],"category_scores_gemma":[0.001130116,0.0001475582,0.000616526,0.001877439,0.0003672326,0.0004704926,0.0006237386,0.0005338286,0.0002718009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01134892,"about_ca_system_score_gemma":0.01353851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884661,"about_ca_topic_score_gemma":0.9915446,"domain_scores_codex":[0.9997262,0.00001725835,0.00001475426,0.00005976917,0.00007193563,0.0001100008],"domain_scores_gemma":[0.9994267,0.00004158985,0.0000890946,0.00001921035,0.0003065902,0.0001168212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003939742,0.00003965875,0.9216242,0.0002470309,0.0006051232,0.0002940889,0.00216779,0.0189718,0.001295862,0.00561626,0.01774633,0.03099784],"study_design_scores_gemma":[0.00001079178,0.00001493818,0.9728519,0.00009672391,0.00009179539,0.00004378426,0.001519408,0.003548331,0.0002247091,0.0004748747,0.02108538,0.00003743616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9365888,0.005253691,0.000452725,0.002283028,0.0002105886,0.00001457222,0.03327543,0.00007637742,0.02184484],"genre_scores_gemma":[0.9839115,0.002952663,0.0002666884,0.0001075915,0.00002593076,0.000006094809,0.00791984,0.00004223533,0.004767539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01153386,"threshold_uncertainty_score":0.08234257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188828529666693,"score_gpt":0.2449961294928994,"score_spread":0.2331078441962325,"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."}}