{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007172649,0.0005575338,0.0005400845,0.0002529972,0.0002836687,0.0001680383,0.000689104,0.0005156178,0.001105901],"category_scores_gemma":[0.0002190625,0.0004502356,0.0001242534,0.0007184097,0.0001391559,0.0002556583,0.0001352957,0.0006995663,0.0001274492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007101786,"about_ca_system_score_gemma":0.0002299621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2577254,"about_ca_topic_score_gemma":0.9251748,"domain_scores_codex":[0.9968393,0.0001189826,0.0005527015,0.001005379,0.0008048798,0.0006787113],"domain_scores_gemma":[0.9981716,0.0005136004,0.0002461263,0.0007668884,0.00004409189,0.0002576471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003566467,0.001855975,0.02903138,0.002101355,0.0005451079,0.0004542262,0.02968916,0.1118474,0.05570829,0.002039095,0.6066388,0.1565227],"study_design_scores_gemma":[0.00289749,0.0004982323,0.8481081,0.0005459954,0.0002170085,0.0000285645,0.003271079,0.001915569,0.000472896,0.0009097538,0.1389878,0.002147493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864776,0.0002707163,0.000003356328,0.0003458153,0.0009452466,0.0008603391,0.0008508353,0.00002699384,0.01021916],"genre_scores_gemma":[0.9812054,0.0001671423,0.00009394215,0.0005838209,0.0001545669,0.0001516453,0.0007541964,0.00008504516,0.01680425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8190767,"threshold_uncertainty_score":0.9998072,"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."}}