{"id":"W3107856855","doi":"10.1109/ccece47787.2020.9255814","title":"Customized Shape Detection Algorithms for Radiometric Calibration of Multispectral Imagers for Precision Agriculture Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Multispectral image; Radiometric calibration; Computer science; Calibration; Remote sensing; Radiometry; Precision agriculture; Computer vision; Artificial intelligence; Agriculture; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009986212,0.001115189,0.0006122683,0.001533266,0.0003714396,0.0009808938,0.00145433,0.001169915,0.005184821],"category_scores_gemma":[0.002610323,0.0006277897,0.0009252046,0.001226403,0.0003469895,0.0009117867,0.0008577662,0.0009952299,0.003568677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005156332,"about_ca_system_score_gemma":0.0005909425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007898973,"about_ca_topic_score_gemma":0.001987756,"domain_scores_codex":[0.9990394,0.00009232538,0.00006310314,0.0002230669,0.0005165555,0.00006560824],"domain_scores_gemma":[0.9986754,0.0002655915,0.0001754881,0.0003068863,0.0005408996,0.00003570683],"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":[0.0001497458,0.000101695,0.001335004,0.0001696406,0.00005726841,0.0001283992,0.0001286284,0.01744603,0.2702616,0.003588581,0.003441897,0.7031914],"study_design_scores_gemma":[0.0000374557,0.0001863025,0.006237029,0.00004001217,0.00004936496,0.001005117,0.00008563873,0.5384007,0.4173077,0.004183027,0.03236258,0.0001051376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005408403,0.00006458093,0.9909531,0.0000221306,0.00002196047,0.00005463603,0.00005138329,0.002793948,0.0006298672],"genre_scores_gemma":[0.03436287,0.00009008428,0.9629995,0.00005171842,0.00001228921,0.0001167761,0.0002371305,0.000455293,0.001674263],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005184821,"threshold_uncertainty_score":0.01734501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557767774685213,"score_gpt":0.2923494039698513,"score_spread":0.2667717262229991,"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."}}