{"id":"W4400941388","doi":"10.3390/rs16152717","title":"Use of Landsat Imagery Time-Series and Random Forests Classifier to Reconstruct Eelgrass Bed Distribution Maps in Eeyou Istchee","year":2024,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; University of Victoria; University of New Brunswick","funders":"Mitacs; Niskamoon Corporation","keywords":"Remote sensing; Random forest; Physical geography; Geology; Cartography; Geography; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0003399876,0.0001603311,0.0002963391,0.0001544694,0.00007486976,0.000210693,0.00003989732,0.0001013389,0.0000222542],"category_scores_gemma":[0.0002121259,0.000128044,0.00006376731,0.0003389398,0.00009600687,0.0002703207,0.00001318532,0.0001690947,0.00003979104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001143119,"about_ca_system_score_gemma":0.00004668353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002563284,"about_ca_topic_score_gemma":0.004451893,"domain_scores_codex":[0.9988297,0.0001177606,0.0003000752,0.000308772,0.0001602107,0.0002834851],"domain_scores_gemma":[0.9992822,0.0003439618,0.00004744394,0.0001696694,0.00004164786,0.0001150913],"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":[0.0004646765,0.000002872924,0.02096083,0.00009229974,0.00002983285,0.0002226314,0.0003305961,0.0006497914,0.00172552,0.00000459116,0.001862913,0.9736534],"study_design_scores_gemma":[0.001062464,0.0001934997,0.1878069,0.001390762,0.00007713302,0.0008528889,0.0001860773,0.7788142,0.003207089,0.001938879,0.02383555,0.0006345264],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963427,0.0003670166,0.001390154,0.0004977676,0.0003874616,0.0001563213,0.0001563649,0.00006369696,0.0006385312],"genre_scores_gemma":[0.9924396,0.0001448117,0.006574145,0.00005188305,0.0001063927,1.95473e-9,0.0003279723,0.000008578589,0.0003466336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9730189,"threshold_uncertainty_score":0.5221485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735263068091603,"score_gpt":0.2173786725916502,"score_spread":0.2000260419107342,"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."}}