{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004703284,0.000145396,0.0001566691,0.000007150346,0.0004316826,0.0001000705,0.0003679564,0.00004159605,0.002374351],"category_scores_gemma":[0.00005071945,0.0001191213,0.00002531825,0.002143025,0.002764384,0.0005401509,0.000420472,0.00009115946,0.0003898588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001158676,"about_ca_system_score_gemma":0.0000180459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039016,"about_ca_topic_score_gemma":0.001404327,"domain_scores_codex":[0.9982086,0.00002213762,0.0002003121,0.0005598121,0.0003197869,0.0006893736],"domain_scores_gemma":[0.9994278,0.00003149379,0.00006006813,0.0003203043,0.00001978523,0.0001405454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003998521,0.0001417279,0.8533103,0.000007372682,0.00000278352,0.000009340369,0.007780892,0.0007904706,0.01626762,0.0001378673,0.000255358,0.1212563],"study_design_scores_gemma":[0.0003485621,0.0003560354,0.9474471,0.00001514495,0.000007067671,0.00001204001,0.001162028,0.03319905,0.0003719599,0.0004799622,0.01618308,0.0004179737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745895,0.00003127513,0.00004260562,0.0001487101,0.000152936,0.00006403452,0.000008544762,0.0000423887,0.02492006],"genre_scores_gemma":[0.9946657,0.0001724103,0.004286235,0.0004767662,0.00003096241,0.000006486898,0.00000210964,0.00000846626,0.0003508965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1208383,"threshold_uncertainty_score":0.9999495,"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."}}