{"id":"W6902322913","doi":"10.6084/m9.figshare.28039293.v1","title":"Assessing intertidal sediment photopigment content from spectral reflectance with an UAV-mounted 10-band multispectral sensor","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multispectral image; Sediment; Intertidal zone; Multispectral pattern recognition; Calibration; Radiometry; Hyperspectral imaging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003804802,0.0002946727,0.0001345461,0.0004426407,0.0002364749,0.0003182318,0.0002879773,0.0002464384,0.0008409218],"category_scores_gemma":[0.0004800858,0.000174922,0.0002014132,0.0003613476,0.0002338451,0.0002609718,0.0002800481,0.000237798,0.0002858129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005061267,"about_ca_system_score_gemma":0.0003132238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188172,"about_ca_topic_score_gemma":0.05393857,"domain_scores_codex":[0.9997604,0.00002667725,0.000011,0.00007797003,0.00009967823,0.00002435472],"domain_scores_gemma":[0.9997347,0.00003637876,0.00006100388,0.00004458358,0.0001086618,0.00001464465],"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":[0.0001261848,0.00008110315,0.07420208,0.0001066336,0.00004600149,0.00007560416,0.0001870936,0.003227585,0.879493,0.0001929173,0.0003674732,0.04189428],"study_design_scores_gemma":[0.00001311753,0.0003088329,0.4907154,0.00002660675,0.00007352864,0.0001490777,0.0002336325,0.03148142,0.4733513,0.0001456579,0.003461713,0.00003985604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9313762,0.0001150561,0.065387,0.00002687484,0.00001276239,0.0001256452,0.0007240104,0.0003392272,0.00189321],"genre_scores_gemma":[0.8929709,0.000159039,0.1040056,0.0000755231,0.000003507379,0.0001834745,0.0008010613,0.00006829076,0.001732631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01188172,"threshold_uncertainty_score":0.02362508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04464279306145671,"score_gpt":0.2853009155953642,"score_spread":0.2406581225339075,"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."}}