{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008377546,0.0001772484,0.0002873592,0.00005289149,0.0001836911,0.00004319917,0.0006998248,0.0001629722,0.0002681648],"category_scores_gemma":[0.0001926952,0.00009266219,0.0002073311,0.0003871197,0.0006405849,0.00008852017,0.0001732394,0.0002282729,0.00002631046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008726312,"about_ca_system_score_gemma":0.00002532366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002802683,"about_ca_topic_score_gemma":0.006501582,"domain_scores_codex":[0.998646,0.0001595166,0.0002776521,0.0003766982,0.0001922349,0.0003479254],"domain_scores_gemma":[0.9987689,0.0004733037,0.0001360607,0.0005613749,0.00001576269,0.00004464674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005632967,0.0001070499,0.9892741,0.0000118235,0.0000867032,0.00000170033,0.001741832,0.0005129403,0.005476667,0.0001873636,0.001611301,0.0009322076],"study_design_scores_gemma":[0.0003836807,0.00007597708,0.9921021,0.00001036872,0.0003018276,0.000009074931,0.0004246331,0.0003168214,0.0004590651,0.0002241586,0.005550252,0.0001420426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952195,0.00005427267,0.0001717906,0.002299199,0.0001602008,0.001009715,0.00004587651,0.00001077517,0.001028676],"genre_scores_gemma":[0.9974641,0.00005038589,0.0005456546,0.00152451,0.00002460253,0.0001909932,0.000009173919,0.000009100391,0.0001815183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005017602,"threshold_uncertainty_score":0.4236837,"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."}}