{"id":"W1965868051","doi":"10.5589/m08-003","title":"Mismatch of band sequences between an image and header file: a potential error in SPOT L1A products","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiance; Header; Preprocessor; Calibration; Computer science; Remote sensing; Image (mathematics); Digital image; Artificial intelligence; Computer graphics (images); Geography; Mathematics; Image processing; Statistics","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":[0.00497225,0.0006583208,0.000460829,0.001876247,0.0006393514,0.001033881,0.000804803,0.0009278592,0.005394053],"category_scores_gemma":[0.02783638,0.0006183084,0.0002606383,0.002775668,0.0005160548,0.001619829,0.0005246091,0.0006732425,0.004399756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006408289,"about_ca_system_score_gemma":0.000507051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00257074,"about_ca_topic_score_gemma":0.002511901,"domain_scores_codex":[0.9967841,0.0006232657,0.000481568,0.0005917253,0.00136435,0.0001549797],"domain_scores_gemma":[0.982634,0.006093898,0.001472722,0.003947513,0.005684826,0.0001670793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00385117,0.0004070708,0.05679709,0.00113282,0.0001554254,0.001715179,0.003880441,0.004526999,0.2355004,0.004801155,0.02976481,0.6574674],"study_design_scores_gemma":[0.0001476862,0.0007859074,0.10797,0.000318002,0.0002087862,0.003902156,0.001467816,0.03635381,0.7414984,0.004751462,0.1023924,0.0002036241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6180695,0.001342617,0.310894,0.001861559,0.001285347,0.0005906483,0.008805082,0.03662696,0.02052435],"genre_scores_gemma":[0.5952144,0.0002980685,0.3835782,0.001011432,0.00009418678,0.000334139,0.005733644,0.005131562,0.008604382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005394053,"threshold_uncertainty_score":0.02629608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354429920050617,"score_gpt":0.230949426816929,"score_spread":0.1974051276164228,"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."}}