{"id":"W2072723788","doi":"10.1016/j.rse.2013.02.010","title":"Mapping eelgrass (Zostera marina) in the Gulf Islands National Park Reserve of Canada using high spatial resolution satellite and airborne imagery","year":2013,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Remote sensing; Hyperspectral imaging; Environmental science; Multispectral image; Image resolution; Zostera marina; Satellite imagery; Satellite; Geology; Computer science; Ecosystem; Ecology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001991205,0.0002630592,0.0002208663,0.001937156,0.001249849,0.0008084371,0.0007068333,0.0002853424,0.0007630137],"category_scores_gemma":[0.0004500143,0.0002244879,0.0001785253,0.002010319,0.0005557383,0.0002948253,0.0006300512,0.0002280744,0.0001716804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008042575,"about_ca_system_score_gemma":0.00973735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929101,"about_ca_topic_score_gemma":0.9979475,"domain_scores_codex":[0.9998159,0.000009621788,0.000008088862,0.00003840477,0.00005955978,0.00006847329],"domain_scores_gemma":[0.9996845,0.00001980671,0.00004120993,0.00001117199,0.000167444,0.00007587954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001997311,0.00009135449,0.9311084,0.0001648276,0.0001986292,0.000488265,0.004101824,0.002328014,0.01296152,0.0005903734,0.003845757,0.04392142],"study_design_scores_gemma":[0.000008957454,0.000008308066,0.9914863,0.00002887032,0.00002791914,0.00004494319,0.003329189,0.001443297,0.0002808245,0.00002744177,0.003302813,0.00001103749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955715,0.0003087622,0.0001654432,0.00009427156,0.000004341718,0.00002734486,0.00170702,0.000028901,0.002092312],"genre_scores_gemma":[0.9945821,0.0003497671,0.001155243,0.00004008423,0.000001992956,0.00002071577,0.001617244,0.000009494889,0.002223348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008042575,"threshold_uncertainty_score":0.05835325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287445277678339,"score_gpt":0.175984112354293,"score_spread":0.1631096595775096,"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."}}