{"id":"W7095705619","doi":"","title":"Ottawa • Cairo • Dakar • Montevideo • Nairobi • New Delhi • Singaporeiv Coastal Resource Management in the Caribbean","year":2013,"lang":"en","type":"article","venue":"","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"New delhi; Resource management (computing); Resource (disambiguation); Indian ocean; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004029052,0.0003098971,0.0002242621,0.001405024,0.004467188,0.002637845,0.0006134295,0.0004003097,0.02854982],"category_scores_gemma":[0.001160293,0.0002430854,0.0001948876,0.005672089,0.0007680719,0.000830356,0.001971858,0.0004970607,0.001321811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01568237,"about_ca_system_score_gemma":0.03712254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9029772,"about_ca_topic_score_gemma":0.9793794,"domain_scores_codex":[0.9995203,0.00005662264,0.00003251404,0.00003533993,0.0001103053,0.0002448272],"domain_scores_gemma":[0.9989901,0.00008532777,0.0001046637,0.00004229808,0.0003731202,0.000404433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004960978,0.0001913921,0.3641094,0.002435211,0.0001622666,0.004854893,0.01854916,0.001391754,0.004669989,0.04103798,0.1395857,0.4225161],"study_design_scores_gemma":[0.00003965511,0.00005544368,0.5502954,0.0006772839,0.00005450784,0.0005641799,0.03171455,0.0003465878,0.0007157843,0.0007361002,0.4147499,0.0000505859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4922338,0.01355256,0.0006200994,0.01284857,0.0002094779,0.0004758713,0.007628703,0.0001693386,0.4722615],"genre_scores_gemma":[0.7787429,0.008846223,0.002088463,0.0004937249,0.00002672062,0.0001803959,0.002128497,0.00008047533,0.2074125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9029772,"threshold_uncertainty_score":0.1951883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008452930732511202,"score_gpt":0.195321879324692,"score_spread":0.1868689485921808,"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."}}