{"id":"W1945958901","doi":"10.1007/1-4020-3968-9_11","title":"MAPPING OF CORAL REEFS FOR MANAGEMENT OF MARINE PROTECTED AREAS IN DEVELOPING NATIONS USING REMOTE S","year":2006,"lang":"en","type":"book-chapter","venue":"Remote sensing and digital image processing","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coral reef; Marine protected area; Reef; Geography; Oceanography; Coral; Coral reef protection; Coral reef organizations; Environmental issues with coral reefs; Fishery; Geology; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001663797,0.0003193812,0.0004308393,0.0003046036,0.0001222883,0.0001166842,0.0001047484,0.0001004393,0.000006249045],"category_scores_gemma":[0.00002897119,0.0003357148,0.00008781755,0.0002336164,0.0002286178,0.0002988121,0.001441573,0.0001306,0.00000137701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053686,"about_ca_system_score_gemma":0.00003128218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006709204,"about_ca_topic_score_gemma":0.0001613698,"domain_scores_codex":[0.9982773,0.000007161034,0.0006440951,0.0004813019,0.0003046448,0.0002855027],"domain_scores_gemma":[0.9991755,0.00003177941,0.0004903733,0.0001850717,0.00007129429,0.00004591723],"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":[0.0000347866,0.00001239816,0.00002015991,0.001782178,0.00002699994,0.00003565997,0.00005956024,0.0001738419,0.0005661706,0.0001639736,0.00002184905,0.9971024],"study_design_scores_gemma":[0.003661993,0.0002259112,0.003084792,0.02788269,0.0003915596,0.0002467451,0.0005568177,0.6944444,0.001999539,0.2381253,0.026268,0.00311229],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004872859,0.00008718146,0.3704895,0.00009009233,0.0000420868,0.001036862,0.00002146645,0.00005147919,0.6233085],"genre_scores_gemma":[0.1501568,0.0001081211,0.7596899,0.0000465268,0.00006697463,5.986355e-7,0.0002013041,0.0001494973,0.0895803],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9939901,"threshold_uncertainty_score":0.9999095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039476405819508,"score_gpt":0.2331643349936326,"score_spread":0.2127695709354376,"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."}}