{"id":"W4238153040","doi":"10.5194/essd-2021-34-ac1","title":"Reply on RC1","year":2021,"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","keywords":"Rapeseed; Sowing; Geography; Ground truth; Crop; Mathematics; Product (mathematics); Agricultural science; Agricultural engineering; Cartography; Agricultural economics; Environmental science; Statistics; Agronomy; Computer science; Forestry; Engineering; Economics; Artificial intelligence","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":[0.002660637,0.000931182,0.00110689,0.001329535,0.003156065,0.004796116,0.003331353,0.02452357,0.2518212],"category_scores_gemma":[0.03522627,0.0006043683,0.001495956,0.001020565,0.001959184,0.00446939,0.003048412,0.01976414,0.1938019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003384814,"about_ca_system_score_gemma":0.003472014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007332535,"about_ca_topic_score_gemma":0.008057665,"domain_scores_codex":[0.9971463,0.0004990549,0.0003052932,0.0005565606,0.001025318,0.0004674834],"domain_scores_gemma":[0.9906934,0.002687797,0.0003272436,0.000610645,0.004353618,0.001327347],"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":[0.0000061194,0.000002898608,0.00002453912,0.00001403526,0.000001103863,0.00004012204,0.000009843156,0.000003025111,0.00001508788,0.0002532772,0.9974171,0.002212806],"study_design_scores_gemma":[0.000007710629,0.000006132038,0.0001156017,0.00005588268,0.000001997839,0.00006097751,0.00005898386,0.00001586052,0.00004692014,0.0004138348,0.9992082,0.000007937604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002238524,0.001687967,0.0003795086,0.7243056,0.219281,0.0001501716,0.001128414,0.000728133,0.05211522],"genre_scores_gemma":[0.002278978,0.001033646,0.0002841273,0.765657,0.05518861,0.0002253683,0.0004599934,0.0003726521,0.1744996],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7481788,"threshold_uncertainty_score":0.8424259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017904931453739,"score_gpt":0.2593124448270164,"score_spread":0.2414075133732774,"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."}}