{"id":"W4309987675","doi":"10.5194/egusphere-2022-996-rc2","title":"Comment on egusphere-2022-996","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Covariance; Computer science; Statistics; Underdetermined system; Uncorrelated; Algorithm; Statistical theory; Mathematics","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":[0.005915713,0.000964764,0.001035157,0.001178834,0.004282304,0.004833402,0.00339301,0.0444066,0.04792617],"category_scores_gemma":[0.0436041,0.0005705196,0.001142264,0.001283244,0.002741102,0.004721873,0.002612834,0.02131045,0.0463875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003742221,"about_ca_system_score_gemma":0.007634323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03767161,"about_ca_topic_score_gemma":0.0418614,"domain_scores_codex":[0.9945485,0.0005328063,0.0005492041,0.000691155,0.003024828,0.000653601],"domain_scores_gemma":[0.9838898,0.004670337,0.0007375035,0.001203906,0.008065994,0.001432471],"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":[0.00001796323,0.000009268936,0.00010289,0.00004252871,0.000002245326,0.0002067905,0.00004393269,0.00002342536,0.000107252,0.003092589,0.9937924,0.00255884],"study_design_scores_gemma":[0.00001061403,0.000007519265,0.0004809476,0.00006459725,0.000002310622,0.00004492227,0.00005968467,0.00004560559,0.0001134497,0.0009519639,0.9982042,0.0000140071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007662436,0.001902431,0.0007983174,0.7691492,0.1402438,0.0002596782,0.001373574,0.0007554886,0.08475128],"genre_scores_gemma":[0.004131057,0.001003701,0.0006267217,0.7939475,0.03344081,0.0002451868,0.000432488,0.0004072493,0.1657654],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04792617,"threshold_uncertainty_score":0.160329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05933119357209266,"score_gpt":0.281358596588097,"score_spread":0.2220274030160043,"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."}}