{"id":"W4405448523","doi":"10.1093/jrsssc/qlae082","title":"Alexa A. Sochaniwsky and Paul D. McNicholas’s contribution to the Discussion of ‘Inference for extreme spatial temperature events in a changing climate with application to Ireland’ by Healy et al.","year":2024,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series C (Applied Statistics)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Horizon 2020 Framework Programme; Center for Research and Development in Mathematics and Applications; Science Foundation Ireland; European Commission","keywords":"Inference; Climate change; Geography; Sociology; Epistemology; Philosophy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007783721,0.001153376,0.001049605,0.001990959,0.002010461,0.005672812,0.003348852,0.007787324,0.01032149],"category_scores_gemma":[0.08134037,0.0008973274,0.00168598,0.002290091,0.004203645,0.008814625,0.003194069,0.01233976,0.005014063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003000138,"about_ca_system_score_gemma":0.002858628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01491135,"about_ca_topic_score_gemma":0.01832601,"domain_scores_codex":[0.9920672,0.003688749,0.0004275925,0.00150178,0.001876556,0.0004380243],"domain_scores_gemma":[0.9641792,0.02511023,0.001533454,0.001552475,0.006324248,0.001300372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000061078,0.00003017128,0.002651609,0.0003821965,0.000101121,0.0003705012,0.001455981,0.001388062,0.000169571,0.09308003,0.8605301,0.03977956],"study_design_scores_gemma":[0.00002289165,0.00001689135,0.001355171,0.000475914,0.00002779665,0.0005516067,0.0008796122,0.003362257,0.0002961096,0.1206614,0.8722237,0.00012669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001402943,0.01893093,0.03933591,0.883003,0.04517562,0.00004283994,0.0006356305,0.0002059448,0.01126734],"genre_scores_gemma":[0.1177151,0.03916607,0.04516031,0.6228011,0.1059289,0.0002987749,0.0008934626,0.001350251,0.066686],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01491135,"threshold_uncertainty_score":0.04116476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003561050275412946,"score_gpt":0.2270979902969174,"score_spread":0.2235369400215044,"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."}}