{"id":"W2338754006","doi":"10.1080/07038992.2015.1112729","title":"Cloud Detection Method Based on Spectral Area Ratios in MODIS Data","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moderate-resolution imaging spectroradiometer; Pixel; Remote sensing; Cloud computing; Preprocessor; Spectroradiometer; Computer science; Environmental science; Geography; Artificial intelligence; Reflectivity; Physics; Satellite","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009317474,0.0006422526,0.0007067564,0.003455855,0.0005015386,0.0008454496,0.0007340502,0.0004449274,0.0007379049],"category_scores_gemma":[0.001635605,0.0003194752,0.0006754379,0.001528832,0.0002739786,0.001173046,0.0004541166,0.0004567002,0.0006424616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005485771,"about_ca_system_score_gemma":0.0006401358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004910026,"about_ca_topic_score_gemma":0.004220128,"domain_scores_codex":[0.9992051,0.00007224082,0.00007541847,0.0002144464,0.0003723545,0.00006049535],"domain_scores_gemma":[0.9994386,0.00008945572,0.00009025471,0.00005100758,0.0003013461,0.00002929002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003614216,0.0001674444,0.02897672,0.0004039651,0.0001790799,0.0003916929,0.0002527841,0.0192717,0.1936703,0.00298776,0.00422581,0.7491114],"study_design_scores_gemma":[0.00009184014,0.0001892067,0.05188804,0.00007199005,0.0001972686,0.00122943,0.0002172371,0.7080586,0.2171557,0.002282458,0.0184719,0.0001463531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1753779,0.001212062,0.8151817,0.0001743923,0.0002839446,0.000311341,0.0006040634,0.003179689,0.003674933],"genre_scores_gemma":[0.3277653,0.0006119903,0.6688102,0.00006880768,0.00008806489,0.0001406708,0.0007813011,0.0001747044,0.001558864],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004910026,"threshold_uncertainty_score":0.009762883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04254166970787606,"score_gpt":0.2584228556545135,"score_spread":0.2158811859466374,"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."}}