{"id":"W4308753378","doi":"10.7717/peerj.14313","title":"Long-term monitoring projects of Brazilian marine and coastal ecosystems","year":2022,"lang":"en","type":"article","venue":"PeerJ","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Scope (computer science); Environmental resource management; Business; Environmental planning; Marine ecosystem; Marine conservation; Biodiversity; Geography; Training (meteorology); Ecosystem; Coral reef; Fishery; Ecology; Environmental science; Computer science","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":[0.004909674,0.0005929128,0.0003681475,0.003592431,0.00139572,0.0008764526,0.001102351,0.000447872,0.001779574],"category_scores_gemma":[0.01095342,0.0003128779,0.0003009303,0.004997244,0.0007067072,0.001356063,0.002338224,0.0003705434,0.0002618736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390647,"about_ca_system_score_gemma":0.009942392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05419383,"about_ca_topic_score_gemma":0.1373968,"domain_scores_codex":[0.9975696,0.0008641337,0.0002684959,0.0003875017,0.0005825637,0.000327614],"domain_scores_gemma":[0.9868091,0.00195929,0.004115861,0.001338528,0.003845158,0.001931904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009242655,0.0001622358,0.7183013,0.001721983,0.00010469,0.0005157721,0.01132444,0.001173403,0.005052685,0.002897862,0.005530328,0.2531229],"study_design_scores_gemma":[0.000009642516,0.0001756279,0.9492278,0.0004867158,0.00005654842,0.0002343339,0.007186785,0.001018394,0.0007669883,0.0008880434,0.0399235,0.00002557283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361839,0.006928804,0.01307557,0.002311154,0.0001080987,0.00145779,0.006559719,0.00028778,0.03308716],"genre_scores_gemma":[0.9672435,0.002968987,0.02192536,0.0001384334,0.0000369396,0.001217838,0.002941405,0.00004915963,0.003478422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05419383,"threshold_uncertainty_score":0.1077567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374034125003396,"score_gpt":0.2266400751396338,"score_spread":0.2128997338895998,"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."}}