{"id":"W4296156599","doi":"10.5194/essd-2022-158-ac1","title":"Reply on RC2","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Clinical Nutrition and Gastroenterology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Lidar; Remote sensing; Physics; Meteorology; Geology; Geodesy; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"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":[0.002101758,0.0008867984,0.0009247326,0.001023547,0.002568619,0.004876505,0.002628972,0.01510456,0.23581],"category_scores_gemma":[0.02353464,0.0004388393,0.001157258,0.0008199622,0.00187693,0.003825141,0.002696267,0.01521243,0.1806094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658885,"about_ca_system_score_gemma":0.003159569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004540263,"about_ca_topic_score_gemma":0.00546873,"domain_scores_codex":[0.9975981,0.0003733061,0.0002282888,0.000490455,0.0009094375,0.0004003577],"domain_scores_gemma":[0.9948779,0.001257986,0.0001883809,0.0005348691,0.002209418,0.0009314455],"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":[0.00001094679,0.000003954037,0.00003424782,0.00002069445,0.000001672314,0.00006101667,0.00001198793,0.000004812262,0.00002733929,0.0005253152,0.9958539,0.003444169],"study_design_scores_gemma":[0.000005957698,0.000004555923,0.0001143458,0.00004406449,0.000001474564,0.00005182725,0.0000413381,0.000008885627,0.00004205144,0.0003561629,0.9993244,0.00000490915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000357735,0.002848945,0.0003960113,0.4845127,0.4318825,0.0001742595,0.001381918,0.0006547034,0.07779121],"genre_scores_gemma":[0.004342505,0.002606719,0.0003933129,0.5322344,0.1414989,0.000292267,0.0008378776,0.0005265809,0.3172675],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.23581,"threshold_uncertainty_score":0.7888631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06778302496829856,"score_gpt":0.3819341638112967,"score_spread":0.3141511388429982,"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."}}