{"id":"W4386021345","doi":"10.5194/sp-2023-10-cc1","title":"Comment on sp-2023-10","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); Alkalinity; Computer science; Environmental science; Identification (biology); Meteorology; Remote sensing; Ecology; Geography; Chemistry","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":[0.001724797,0.0008167085,0.0008400933,0.0007621424,0.002979586,0.004224045,0.002186092,0.02213604,0.2142052],"category_scores_gemma":[0.01099365,0.0004347472,0.001300134,0.001177509,0.001454763,0.002474686,0.001793401,0.01462177,0.1902047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003488341,"about_ca_system_score_gemma":0.003549843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0316895,"about_ca_topic_score_gemma":0.040535,"domain_scores_codex":[0.9984756,0.0001290557,0.0001119411,0.0001895091,0.0007631762,0.0003306766],"domain_scores_gemma":[0.9968934,0.0007238629,0.0001223719,0.0002484422,0.001590487,0.0004213106],"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":[0.0000283582,0.000007760667,0.00006351448,0.00003130444,0.000001484221,0.00006580482,0.00001159399,0.000009687097,0.00006851905,0.001044011,0.9962812,0.002386732],"study_design_scores_gemma":[0.00001177264,0.00001026092,0.0005173944,0.00006035783,0.000001906923,0.00002131895,0.00004041731,0.00002913349,0.0000784809,0.0005954409,0.9986254,0.000008105037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0009181094,0.001657144,0.0006519525,0.3392355,0.2356003,0.0004494836,0.008876872,0.002168547,0.4104421],"genre_scores_gemma":[0.003558005,0.0006360544,0.0003554385,0.3863516,0.02092152,0.0003675665,0.002109864,0.0005483859,0.5851515],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2142052,"threshold_uncertainty_score":0.7165878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024833499008611,"score_gpt":0.2566665399645334,"score_spread":0.2364182049744473,"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."}}