{"id":"W2097362902","doi":"10.5589/m09-016","title":"Coral health monitoring: linking coral colour and remote sensing techniques","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; University of Queensland","keywords":"Coral; Coral reef; Acropora; Remote sensing; Coral bleaching; Chart; Reef; Reflectivity; Geography; Heron; Environmental science; Cartography; Oceanography; Ecology; Biology; Geology; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001596618,0.0005008281,0.0004984487,0.001997124,0.0002414576,0.0006959991,0.0003803772,0.0003576021,0.0007526578],"category_scores_gemma":[0.004249334,0.0002298326,0.0002261287,0.001454998,0.0002626479,0.0006775644,0.0008007411,0.0003967849,0.0001986905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00046326,"about_ca_system_score_gemma":0.000380498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01749206,"about_ca_topic_score_gemma":0.028512,"domain_scores_codex":[0.9985758,0.0004777901,0.00007082717,0.0002299962,0.0005672318,0.00007839165],"domain_scores_gemma":[0.9987269,0.0004067909,0.0003808714,0.00009621034,0.0003330928,0.00005608133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002717037,0.0002995021,0.6415375,0.000517283,0.0002907013,0.0001048887,0.0004686163,0.006955254,0.04141739,0.0003979944,0.0005872003,0.307152],"study_design_scores_gemma":[0.00001702947,0.000423434,0.9738193,0.00005252063,0.0001154787,0.000298004,0.0003210107,0.01651221,0.006621502,0.0004872608,0.001289241,0.00004295255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390342,0.003017658,0.04673228,0.0003575071,0.00004601519,0.0003943611,0.00124444,0.0002936969,0.008879854],"genre_scores_gemma":[0.9578111,0.001063317,0.03944337,0.0001125778,0.00003608325,0.00009395844,0.0004639531,0.00001252259,0.0009632562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01749206,"threshold_uncertainty_score":0.0347805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957811065964573,"score_gpt":0.2479246844363761,"score_spread":0.2283465737767303,"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."}}