{"id":"W4386054158","doi":"10.5194/sp-2023-10-cc2","title":"Reply on AC1","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Ocean Acidification Program; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Prince Albert II of Monaco Foundation; Canada Research Chairs; ClimateWorks Foundation; National Aeronautics and Space Administration","keywords":"Data assimilation; Context (archaeology); Biogeochemical cycle; Scale (ratio); Computer science; Alkalinity; Identification (biology); Environmental science; Meteorology; Remote sensing; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002317724,0.0007180045,0.0007984267,0.0008762435,0.002970898,0.00404492,0.002264119,0.01970986,0.2421528],"category_scores_gemma":[0.01861866,0.0004623981,0.001150964,0.0009270899,0.001478217,0.003855023,0.002403653,0.01770438,0.1519123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003220071,"about_ca_system_score_gemma":0.00350221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007617096,"about_ca_topic_score_gemma":0.01075735,"domain_scores_codex":[0.9981459,0.0002875725,0.0001766817,0.0003341819,0.0006945686,0.0003611163],"domain_scores_gemma":[0.9949306,0.001580026,0.0001769789,0.0003555949,0.002237455,0.0007193422],"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":[0.0000119542,0.000003392018,0.00004156426,0.00001795879,0.000001145886,0.00004226517,0.00001153305,0.000004372593,0.00002667052,0.0007125714,0.9958377,0.003288916],"study_design_scores_gemma":[0.000006839857,0.000005099595,0.0001737262,0.00005133206,0.00000179288,0.00003887165,0.0000541757,0.00001420082,0.00005448622,0.0005922171,0.9990016,0.000005710709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003813062,0.00260701,0.0003901737,0.7244701,0.1776237,0.0001510107,0.001389222,0.0004983839,0.09248908],"genre_scores_gemma":[0.003465618,0.001299741,0.0003512232,0.6888034,0.03195367,0.0001714277,0.0004795895,0.0002867705,0.2731885],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2421528,"threshold_uncertainty_score":0.8100819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864159795982735,"score_gpt":0.2554889218007239,"score_spread":0.2368473238408965,"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."}}