{"id":"W2227152853","doi":"10.5589/m08-022","title":"The importance of a band at 709 nm for interpreting water-leaving spectral radiance","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Red edge; Radiance; Remote sensing; Imaging spectrometer; Environmental science; Satellite; Phytoplankton; Spectral bands; Chlorophyll a; Spectral resolution; Pelagic zone; Oceanography; Spectrometer; Spectral line; Geography; Geology; Physics; Chemistry; Hyperspectral imaging; Optics; Ecology; Biology; Astronomy","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":[0.0006699676,0.0005044169,0.0001965592,0.001661972,0.0006048647,0.0008131872,0.0003113565,0.0005033814,0.001268417],"category_scores_gemma":[0.0007007348,0.0001741382,0.000223443,0.001277375,0.0003646155,0.0009171942,0.0003441171,0.0006297574,0.0007891934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670698,"about_ca_system_score_gemma":0.0002205912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004074048,"about_ca_topic_score_gemma":0.01097094,"domain_scores_codex":[0.9998869,0.00002572132,0.00001024031,0.00002123334,0.00003790414,0.00001799049],"domain_scores_gemma":[0.9997115,0.00009221162,0.00004303872,0.00003547197,0.00009428652,0.00002359948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002920227,0.0000914105,0.06691037,0.0006690284,0.00009355406,0.0009518845,0.0007431252,0.003435608,0.6927067,0.003601578,0.003494507,0.2270103],"study_design_scores_gemma":[0.00003763849,0.0002526258,0.4607539,0.0003632466,0.0003752661,0.005283883,0.002374498,0.03193973,0.4036168,0.0155773,0.07922058,0.0002044892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6700114,0.005716212,0.2684853,0.0009919474,0.0003962537,0.0001472413,0.002760947,0.002984461,0.04850625],"genre_scores_gemma":[0.6926128,0.003180282,0.2989823,0.0004203748,0.0001386353,0.00005877169,0.001511254,0.0003935026,0.002702014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004074048,"threshold_uncertainty_score":0.008100629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115796070904976,"score_gpt":0.1857487643730169,"score_spread":0.1741691572825193,"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."}}