{"id":"W4360783081","doi":"10.1079/cabireviews.2023.0009","title":"Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures","year":2023,"lang":"en","type":"article","venue":"CABI Reviews","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Kurtosis; Range (aeronautics); Percentile; Climatology; Environmental science; Climate change; Standard deviation; Maximum temperature; Atmospheric sciences; Skewness; Statistics; Mathematics; Materials science; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009664304,0.0001098779,0.0002867145,0.000009254498,0.00006139551,0.000008898599,0.0001985114,0.00004137696,0.001473709],"category_scores_gemma":[0.001967278,0.000067686,0.00006836819,0.000401218,0.0002369089,0.00006123335,0.0001363264,0.0001005689,0.0001675334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000262553,"about_ca_system_score_gemma":0.000008361339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002381226,"about_ca_topic_score_gemma":0.00002463967,"domain_scores_codex":[0.9988592,0.0002301389,0.0002957513,0.0002036927,0.0002229475,0.0001882825],"domain_scores_gemma":[0.9987903,0.0007531315,0.0001175189,0.0002728541,0.00001138915,0.00005482572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006558746,0.0004950984,0.1343885,0.001996405,0.000041086,0.00001842911,0.002943967,0.00007593105,0.4245504,0.001197953,0.1279266,0.3063],"study_design_scores_gemma":[0.001232845,0.0004739306,0.670622,0.001099787,0.0002425397,0.00003872372,0.0002201669,0.006472626,0.004373329,0.007608258,0.3068149,0.00080089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908882,0.004403427,0.00008047205,0.0006036118,0.0001055577,0.001194079,0.000234362,0.00004697587,0.002443279],"genre_scores_gemma":[0.9928244,0.003071527,0.002429878,0.0004990496,0.00006537965,0.0002186979,0.00005440708,0.00002334966,0.0008132811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5362335,"threshold_uncertainty_score":0.9994391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.078374962987733,"score_gpt":0.3042743822058822,"score_spread":0.2258994192181492,"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."}}