{"id":"W4385226559","doi":"10.3390/rs15143634","title":"Methods to Calibrate a Digital Colour Camera as a Multispectral Imaging Sensor in Low Light Conditions","year":2023,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Sherbrooke; Bishop's University; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Space Agency; Fonds de Recherche du Québec-Société et Culture","keywords":"Multispectral image; Remote sensing; Computer science; Calibration; Digital imaging; Radiant flux; Environmental science; Computer vision; Digital image; Optics; Image processing; Physics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004293987,0.0001945885,0.0002290871,0.0001673538,0.0001969958,0.0001079232,0.00009978315,0.00005723679,0.0002429617],"category_scores_gemma":[0.0001245386,0.0001964614,0.00006826353,0.0006645257,0.00008142061,0.0003393763,0.0001525497,0.0002081051,0.003042768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004439332,"about_ca_system_score_gemma":0.00002525214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008246655,"about_ca_topic_score_gemma":0.0001182816,"domain_scores_codex":[0.9981107,0.0001290666,0.0002885123,0.0003990453,0.0002658126,0.0008068322],"domain_scores_gemma":[0.9992449,0.0001121841,0.00006605384,0.0002345973,0.000003175691,0.00033905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001341133,0.0001537957,0.0345576,0.00005477099,0.00003826929,0.002389532,0.01198814,0.00794048,0.6433195,0.00005176979,0.006075215,0.2932968],"study_design_scores_gemma":[0.00186355,0.000209833,0.3312123,0.0003743392,0.0000326757,0.0004467112,0.002716388,0.5784549,0.04711819,0.002713034,0.03335329,0.001504823],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793074,0.000006965367,0.003880196,0.007245583,0.0001793329,0.0003477281,0.00001142214,0.0001662278,0.008855172],"genre_scores_gemma":[0.9639497,0.000009373223,0.03245131,0.001457943,0.00007049926,1.122809e-7,0.00001989132,0.00004198642,0.001999137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5962014,"threshold_uncertainty_score":0.9977335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427857086282928,"score_gpt":0.3238941385681594,"score_spread":0.3096155677053301,"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."}}