{"id":"W7126075050","doi":"10.26071/62ec6c52-15e5-4531","title":"Jetski Radiometry for Remote Sensing Reflectance Uncertainty Propagation","year":2022,"lang":"en","type":"dataset","venue":"OGSL repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Baseline (sea); Radiometry; Bay; Irradiance; Reflectivity; Propagation of uncertainty; Uncertainty analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00128019,0.0007543783,0.0008790498,0.0009351213,0.001143541,0.0002142529,0.0007784506,0.0005642262,0.0004372828],"category_scores_gemma":[0.000913964,0.0008423192,0.0004152533,0.001308552,0.0001825647,0.000204312,0.0002844541,0.001273433,0.0001862916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003707334,"about_ca_system_score_gemma":0.0008512553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000740324,"about_ca_topic_score_gemma":0.0001266193,"domain_scores_codex":[0.9946041,0.0006485031,0.0009912361,0.001532936,0.001388189,0.0008350369],"domain_scores_gemma":[0.9952459,0.000465923,0.001470316,0.00221965,0.0003862478,0.0002119836],"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":[0.0004407199,0.00005553874,5.288015e-7,0.0005945606,0.0001923892,0.0003090326,0.00003838503,0.0001992898,0.01904175,0.000003923203,0.9760054,0.003118471],"study_design_scores_gemma":[0.0006827276,0.0002447006,0.000004499198,0.0002424826,0.000403523,0.0006242723,0.00004205349,0.002932352,0.002369214,0.0001039155,0.9914365,0.0009137188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001926764,0.001061472,0.0005088445,0.00004462338,0.004703981,0.0019723,0.9901337,0.0004105094,0.0009718792],"genre_scores_gemma":[0.00008339057,0.00004546365,0.002948183,0.0001514086,0.001667434,0.00004402946,0.9922593,0.0003082913,0.00249256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01667254,"threshold_uncertainty_score":0.9994028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132164959769914,"score_gpt":0.2988797160955312,"score_spread":0.2775580664978321,"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."}}