{"id":"W2897047528","doi":"10.1038/s41612-018-0051-7","title":"Trends in weather type frequencies across North America","year":2018,"lang":"en","type":"article","venue":"npj Climate and Atmospheric Science","topic":"Climate variability and models","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Climate Program Office; National Oceanic and Atmospheric Administration","keywords":"Climatology; Geography; Environmental science; 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":[0.0002488445,0.0001424746,0.0001493786,0.001773936,0.0002967219,0.0005832526,0.0002433762,0.0001228149,0.001522782],"category_scores_gemma":[0.0008228617,0.00009020879,0.0001626821,0.002746999,0.0001752894,0.0003476836,0.0003803948,0.0002543656,0.0001628828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010098,"about_ca_system_score_gemma":0.00102049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3100776,"about_ca_topic_score_gemma":0.4687124,"domain_scores_codex":[0.9997978,0.00002331298,0.00001740369,0.00005616861,0.00007116234,0.00003427371],"domain_scores_gemma":[0.9987368,0.0001176566,0.0004033297,0.00005112697,0.0005886309,0.0001024803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003986739,0.00001520119,0.9821479,0.00005969971,0.00008377562,0.00004380974,0.0006429584,0.0005424382,0.0008395833,0.000342189,0.003067485,0.01217501],"study_design_scores_gemma":[8.606894e-7,0.000003425547,0.9972517,0.000007870261,0.000005428686,0.00001491294,0.0003778424,0.0002111073,0.00008132579,0.00002268418,0.00202083,0.000002033264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800924,0.0007085124,0.0002511904,0.0002594579,0.00002425991,0.00001164046,0.01424632,0.00004520692,0.004361034],"genre_scores_gemma":[0.9872944,0.0008096588,0.0004778641,0.00005576515,0.0000277423,0.00002766648,0.009956561,0.000010673,0.00133963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6899224,"threshold_uncertainty_score":0.6165455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01884523225559867,"score_gpt":0.2750827798834202,"score_spread":0.2562375476278215,"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."}}