{"id":"W4392747206","doi":"10.5194/egusphere-2024-429-rc2","title":"Comment on egusphere-2024-429","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Deutsche Forschungsgemeinschaft; Deutsches Klimarechenzentrum","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001539755,0.000990936,0.001007538,0.001193489,0.0023774,0.003816535,0.001989148,0.01460931,0.4465423],"category_scores_gemma":[0.007815501,0.0004393744,0.001544807,0.00147548,0.0009856856,0.002411341,0.001890713,0.007743437,0.2734408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002593677,"about_ca_system_score_gemma":0.002487649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773845,"about_ca_topic_score_gemma":0.03608579,"domain_scores_codex":[0.998902,0.00007618902,0.00008331981,0.0001118341,0.000577448,0.000249258],"domain_scores_gemma":[0.9968871,0.0005846059,0.0001491751,0.0002757664,0.001485464,0.0006179152],"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":[0.00003094064,0.00001076707,0.00005898463,0.00003847409,0.000001470255,0.0000410432,0.000004683364,0.00001044966,0.00004873559,0.0003023772,0.9964986,0.002953486],"study_design_scores_gemma":[0.00003560475,0.00001220714,0.000667792,0.00007681874,0.000002262868,0.00001323462,0.00002753779,0.00003104033,0.00009804515,0.0003394597,0.9986859,0.00001016038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0009176121,0.001265087,0.0006651029,0.2285589,0.370727,0.0009307323,0.02515057,0.00431813,0.367467],"genre_scores_gemma":[0.004034674,0.0009033855,0.0005034407,0.2669495,0.04490362,0.0005845085,0.007203379,0.001377721,0.6735398],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.4465423,"threshold_uncertainty_score":0.7894403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537955096142864,"score_gpt":0.3032274105132307,"score_spread":0.257847859551802,"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."}}