{"id":"W4387005187","doi":"10.1063/5.0127396","title":"Cloud masking testing using band QA, Fmask, and MCM methods using Landsat 8 satellite imagery in the first quarter of 2020 (Case study: Batam island)","year":2023,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Masking (illustration); Satellite; Remote sensing; Computer science; Cloud computing; Quarter (Canadian coin); Satellite broadcasting; Satellite imagery; Geology; Geography; Physics; Astronomy; Archaeology","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":[0.001945572,0.0004912625,0.0004081279,0.0007220013,0.0006235484,0.0006394586,0.0008231797,0.0007359845,0.001603463],"category_scores_gemma":[0.003599385,0.0002332326,0.0006701234,0.0006142801,0.0003076017,0.0006704482,0.0003753851,0.0003916122,0.0002878982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009389817,"about_ca_system_score_gemma":0.001981721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1184762,"about_ca_topic_score_gemma":0.1975364,"domain_scores_codex":[0.9996543,0.00008852475,0.00002046205,0.00005810093,0.00007264826,0.0001059281],"domain_scores_gemma":[0.998561,0.0007779265,0.0001156207,0.00007962117,0.00033304,0.0001328268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003296114,0.001020641,0.6048536,0.0002306988,0.0003147636,0.001155033,0.000312211,0.2576527,0.01711955,0.00146259,0.007379056,0.105203],"study_design_scores_gemma":[0.0001517842,0.0003507382,0.2663942,0.00003002367,0.0001151066,0.0001242041,0.0007157246,0.7232231,0.006795011,0.0008080106,0.001250523,0.00004150396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942679,0.0001133128,0.002888567,0.0002818571,0.00002177405,0.00004255138,0.001138953,0.0001624394,0.001082547],"genre_scores_gemma":[0.9882377,0.00003732905,0.009846383,0.0000382227,0.0000069107,0.00001540508,0.00130415,0.00002426741,0.0004896217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184762,"threshold_uncertainty_score":0.2355732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031012400688373,"score_gpt":0.3025244652641856,"score_spread":0.2522143412573019,"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."}}