{"id":"W4200379592","doi":"10.5194/gmd-2021-336-rc1","title":"Comment on gmd-2021-336","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Flexibility (engineering); Scripting language; Process (computing); Usability; Presentation (obstetrics); Software engineering; Forcing (mathematics); Modular design; Data science; Human–computer interaction; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006566588,0.0008011474,0.001149452,0.001577276,0.00315381,0.004681394,0.004031838,0.03038696,0.06596994],"category_scores_gemma":[0.05296591,0.00056599,0.001525194,0.001599883,0.002984437,0.003110836,0.002596139,0.01781241,0.06450034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005693612,"about_ca_system_score_gemma":0.008543696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03857623,"about_ca_topic_score_gemma":0.03942123,"domain_scores_codex":[0.9933184,0.00061236,0.0006188339,0.0008310292,0.003906806,0.0007125347],"domain_scores_gemma":[0.9796504,0.00575796,0.0008947809,0.001520797,0.01041849,0.001757579],"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":[0.00001498998,0.000006473035,0.00006922215,0.00005296671,0.000001564941,0.0001086105,0.00002686376,0.00002041593,0.00007069003,0.001527034,0.9948797,0.003221328],"study_design_scores_gemma":[0.000007813542,0.000004415349,0.0002895674,0.00006458848,0.000001674611,0.00003504569,0.00002579461,0.00003390007,0.00006916247,0.000584459,0.9988742,0.000009218445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006015799,0.002089379,0.0008470705,0.6890653,0.2228076,0.0002770399,0.002827589,0.001699534,0.07978491],"genre_scores_gemma":[0.003333214,0.00113439,0.00111704,0.7711178,0.03777006,0.0002894606,0.0009363618,0.0005158749,0.1837858],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06596994,"threshold_uncertainty_score":0.2206914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463303122480644,"score_gpt":0.2713803555482642,"score_spread":0.2467473243234578,"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."}}