{"id":"W1504152722","doi":"10.1590/s1679-87592006000100003","title":"Mangrove oyster (Crassostrea rhizophorae) (Guilding, 1928) farming areas as artificial reefs for fish: A case study in the State of Ceará, Brazil","year":2006,"lang":"en","type":"article","venue":"Brazilian Journal of Oceanography","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade de Pernambuco; Universidade Federal de Pernambuco; University of Alberta","keywords":"Mangrove; Oyster; Fishery; Transect; Aquaculture; Reef; Biology; Crassostrea; Ecology; Abundance (ecology); Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000842165,0.0002146428,0.0003723615,0.0001323848,0.0002054929,0.0001267234,0.0003891234,0.00007655138,0.00003973072],"category_scores_gemma":[0.00006642524,0.00008150204,0.0004513962,0.000877411,0.0001062439,0.0002279045,0.00002773805,0.0002470434,0.000001713012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001647658,"about_ca_system_score_gemma":0.00001575294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002412532,"about_ca_topic_score_gemma":0.003311848,"domain_scores_codex":[0.9979408,0.0002158943,0.0008633611,0.0002253423,0.000429798,0.0003248234],"domain_scores_gemma":[0.9986573,0.0003032774,0.0005876712,0.00008628738,0.0002706266,0.0000948722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002815933,0.008152491,0.8183128,0.0001446483,0.0003768889,0.006863299,0.008400293,0.00007150757,0.05141761,0.0004817187,0.04383678,0.05912607],"study_design_scores_gemma":[0.005636656,0.01044082,0.8533446,0.000489938,0.0003619012,0.007258971,0.06178765,0.00007004688,0.01471744,0.01921748,0.02550405,0.001170495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972975,0.0001563732,0.00001037771,0.001532537,0.0001000887,0.0005491815,0.0001022228,0.00001143596,0.000240281],"genre_scores_gemma":[0.9990559,0.00001115261,0.0001147081,0.0003658856,0.0003774737,0.000007266982,0.00001509987,0.00000294558,0.00004953287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05795557,"threshold_uncertainty_score":0.3323557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791484817517592,"score_gpt":0.260620609775307,"score_spread":0.2427057616001311,"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."}}