{"id":"W3018829287","doi":"10.3390/rs12091371","title":"Automated Filtering of Multibeam Water-Column Data to Detect Relative Abundance of Giant Kelp (Macrocystis pyrifera)","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Ministry of Business, Innovation and Employment; Department of Environment, Land, Water and Planning, State Government of Victoria","keywords":"Kelp forest; Water column; Macrocystis pyrifera; Environmental science; Kelp; Remote sensing; Geology; Oceanography; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000202721,0.0003754159,0.0002996438,0.0008664734,0.0001840689,0.0002618368,0.0002758069,0.0002428186,0.0007907636],"category_scores_gemma":[0.0003314262,0.0001749851,0.0002553969,0.0006708941,0.0001263843,0.0003222718,0.0003517512,0.0001981487,0.0004574186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438505,"about_ca_system_score_gemma":0.0003464682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176848,"about_ca_topic_score_gemma":0.01186405,"domain_scores_codex":[0.9998382,0.00001194428,0.000008799938,0.00005935437,0.00005170625,0.00002992602],"domain_scores_gemma":[0.9997652,0.00004628767,0.00003743078,0.00003235295,0.00009948089,0.00001916426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002872179,0.0002092823,0.05887243,0.0002571002,0.00008872951,0.0002548519,0.0003544425,0.009405999,0.6934398,0.0002252234,0.002103573,0.2345014],"study_design_scores_gemma":[0.00004100428,0.0002935508,0.6440228,0.00003781871,0.00009726361,0.0004661878,0.0003290177,0.1739068,0.1724881,0.0004262151,0.007817543,0.00007374719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435861,0.0002578972,0.1507648,0.00005621906,0.00004839287,0.00008283732,0.002455802,0.001432877,0.001314919],"genre_scores_gemma":[0.7558748,0.0002473539,0.2359751,0.0000851965,0.0000232748,0.000178619,0.005402838,0.0001460047,0.002066799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003176848,"threshold_uncertainty_score":0.006316721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03929710602255897,"score_gpt":0.2411681186666327,"score_spread":0.2018710126440737,"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."}}