{"id":"W2043454370","doi":"10.3390/rs5031311","title":"Mapping Coral Reef Resilience Indicators Using Field and Remotely Sensed Data","year":2013,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Oceanic and Atmospheric Administration; University of Queensland; Gordon and Betty Moore Foundation; Simon Fraser University; John D. and Catherine T. MacArthur Foundation; University of Waterloo; David and Lucile Packard Foundation","keywords":"Crustose; Coral reef; Coralline algae; Resilience of coral reefs; Reef; Coral; Environmental science; Context (archaeology); Ecology; Geography; Environmental resource management; Biology","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":[0.001620468,0.0006188461,0.0002717962,0.001876461,0.0002157508,0.0004955345,0.0005196765,0.0004443088,0.0004346964],"category_scores_gemma":[0.003312889,0.0002314705,0.0005348088,0.001199727,0.0002605792,0.001156152,0.0005480567,0.0002994299,0.0001473379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005577278,"about_ca_system_score_gemma":0.0005041158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058032,"about_ca_topic_score_gemma":0.02048678,"domain_scores_codex":[0.9994966,0.000157741,0.00004010796,0.0001550164,0.0000990996,0.00005133791],"domain_scores_gemma":[0.9976668,0.0009340494,0.0005682327,0.0004413236,0.0002888959,0.000100711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004456321,0.001303979,0.5095544,0.0001474354,0.0003965517,0.0001650334,0.000315805,0.3527403,0.01481509,0.0006705266,0.0008636031,0.1185817],"study_design_scores_gemma":[0.00004949173,0.0003595916,0.3364753,0.00003307889,0.00008378171,0.00009871191,0.0003946713,0.6560068,0.004869979,0.0009251613,0.0006438225,0.00005971095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914606,0.00005790284,0.006834611,0.0000446284,0.000005293497,0.00003374561,0.0008009425,0.0001807112,0.000581568],"genre_scores_gemma":[0.9871422,0.00003437022,0.0116932,0.000009906875,0.000004175373,0.00004030932,0.0009614559,0.000008217929,0.0001061556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02058032,"threshold_uncertainty_score":0.04092103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173852235342674,"score_gpt":0.245990831971556,"score_spread":0.2142523096181292,"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."}}