{"id":"W2932355740","doi":"10.20950/1678-2305.2019.45.2.396","title":"GROWTH PARAMETERS AND YIELD PER RECRUIT ANALYSIS FOR THE ARMOURED CATFISH Pterygoplichthys pardalis SAMPLED IN THE LOW REACH OF THE AMAZONAS RIVER","year":2019,"lang":"en","type":"article","venue":"Boletim do Instituto de Pesca","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fishery; Fishing; Catfish; Geography; Stock (firearms); Amazon rainforest; Fisheries management; Biology; Fish <Actinopterygii>; Ecology; Archaeology","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":[0.00019286,0.0001974352,0.0001730689,0.0007535395,0.0002035572,0.0002420493,0.0001740898,0.000150441,0.001168793],"category_scores_gemma":[0.000636327,0.0001555815,0.0004071316,0.0005937695,0.0001506154,0.0002064367,0.0002460329,0.0002110707,0.0002098425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003070391,"about_ca_system_score_gemma":0.0002543704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01638934,"about_ca_topic_score_gemma":0.03549153,"domain_scores_codex":[0.9999141,0.000008043952,0.000009948038,0.00003247781,0.00002120547,0.00001436559],"domain_scores_gemma":[0.9996321,0.00004664646,0.0001817489,0.0000262179,0.00006599059,0.00004727559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006451585,0.0000217095,0.9924812,0.00001648746,0.00002847574,0.0001331859,0.0002020173,0.0002265701,0.003423501,0.00001974939,0.00006627219,0.003316376],"study_design_scores_gemma":[0.000001242311,0.00003078707,0.9992817,0.00000186467,0.000009028518,0.00007922514,0.0001207346,0.0002628541,0.000129876,0.000005678905,0.00007500378,0.000001948463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999321,0.00002256879,0.00006373641,0.00000533915,7.347106e-7,0.000003222892,0.0003730766,0.000002770263,0.0002075736],"genre_scores_gemma":[0.9987356,0.00002906702,0.0001948701,0.000004092808,0.000001220063,0.00001245499,0.0006030175,0.000001995958,0.0004176171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01638934,"threshold_uncertainty_score":0.03258789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398027297616886,"score_gpt":0.2401393919771475,"score_spread":0.2161591190009786,"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."}}