{"id":"W4392003585","doi":"10.5194/essd-2023-536-rc1","title":"Comment on essd-2023-536","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; U.S. Geological Survey; National Natural Science Foundation of China","keywords":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001729945,0.000629969,0.0007859924,0.0009232298,0.002133312,0.003547166,0.00207596,0.01826814,0.3485781],"category_scores_gemma":[0.01310083,0.0003690114,0.001189411,0.00104411,0.001236175,0.002478623,0.00204725,0.009155013,0.2607998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106932,"about_ca_system_score_gemma":0.002376901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540221,"about_ca_topic_score_gemma":0.01987461,"domain_scores_codex":[0.9986355,0.000123467,0.0001442253,0.0001635033,0.0006660162,0.0002672377],"domain_scores_gemma":[0.9964747,0.000974792,0.0001318451,0.0002358962,0.001697913,0.000484766],"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":[0.00001493826,0.000005527907,0.00004471577,0.00002614613,9.370722e-7,0.00005227295,0.000007056423,0.00000638958,0.00003252568,0.0005255667,0.9967173,0.002566709],"study_design_scores_gemma":[0.00001244575,0.000006796412,0.0002068156,0.00006499407,0.000001314376,0.00001567263,0.00002680791,0.00001678103,0.00004824016,0.0003574005,0.9992373,0.000005591813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006135086,0.001670298,0.0006854798,0.3949475,0.2748974,0.0004465627,0.01290159,0.002267137,0.3115705],"genre_scores_gemma":[0.002918022,0.0008840986,0.0002831804,0.4266048,0.03098724,0.0002756284,0.002746392,0.0004754499,0.5348252],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3485781,"threshold_uncertainty_score":0.9291742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898337583356415,"score_gpt":0.2703746243079554,"score_spread":0.2513912484743913,"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."}}