{"id":"W2028919806","doi":"10.1080/01431161.2013.871085","title":"Spectral unmixing of multiple lichen species and underlying substrate","year":2014,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; University of Winnipeg","keywords":"Lichen; Crustose; Environmental science; Algae; Remote sensing; Substrate (aquarium); Vegetation (pathology); Abundance (ecology); Cyanobacteria; Ecology; Biology; Geology","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":[0.0004696697,0.0006166591,0.00033519,0.001214378,0.0002248912,0.0005055577,0.0002992158,0.0002788853,0.001599821],"category_scores_gemma":[0.0006752213,0.0001662718,0.0004909018,0.001054034,0.000204486,0.0008133015,0.0004522725,0.0003794236,0.0005249133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493699,"about_ca_system_score_gemma":0.0002011691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681585,"about_ca_topic_score_gemma":0.003365157,"domain_scores_codex":[0.9997907,0.00002535907,0.00001185436,0.00007058691,0.00006657729,0.00003491594],"domain_scores_gemma":[0.9998224,0.00004367617,0.00002969301,0.00002891447,0.00006420023,0.00001103906],"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":[0.0005836529,0.0001809394,0.03439568,0.0005028645,0.0002282893,0.0002032206,0.0004263852,0.0191407,0.6493067,0.001078896,0.001010823,0.2929419],"study_design_scores_gemma":[0.00004940022,0.0003758036,0.2022799,0.00008539858,0.0005201956,0.0008544927,0.0007918355,0.4362824,0.3436685,0.002838499,0.01208796,0.000165634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8952336,0.0008556291,0.09804013,0.0000900788,0.00003693415,0.00004407769,0.000742388,0.001244668,0.003712577],"genre_scores_gemma":[0.9414099,0.0004232869,0.05572795,0.00005567135,0.00001841036,0.00004813489,0.00113228,0.0001181623,0.001066158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001681585,"threshold_uncertainty_score":0.005351901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718694957723592,"score_gpt":0.2516744570689042,"score_spread":0.2144875074916683,"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."}}