{"id":"W3005538658","doi":"10.3354/meps13251","title":"High predatory efficiency and abundance drive expected ecological impacts of a marine invasive fish","year":2020,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Grouper; Biology; Abundance (ecology); Predation; Ecology; Relative species abundance; Fishery; Invasive species; Foraging; Predator; Habitat; Epinephelus; Introduced species; Population; Fish <Actinopterygii>","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001955905,0.0003142132,0.0005706405,0.00005259667,0.0002715123,0.00002944522,0.0004309517,0.0002529164,0.01748282],"category_scores_gemma":[0.0009480768,0.0002794526,0.00006981906,0.0003346656,0.002722598,0.0004088821,0.003005445,0.0003718219,0.0000824915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008609125,"about_ca_system_score_gemma":0.00005680157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001021314,"about_ca_topic_score_gemma":0.003322055,"domain_scores_codex":[0.9979256,0.0002200588,0.0004677929,0.0006541652,0.000189945,0.0005424088],"domain_scores_gemma":[0.9988458,0.0002903306,0.000311665,0.0002647162,0.00004953162,0.0002379329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002881789,0.0002690833,0.9928302,0.00008209498,0.00005446959,0.000103715,0.0006216252,0.00003355133,0.0004494001,0.0008472302,0.00349193,0.0009285854],"study_design_scores_gemma":[0.0008075188,0.002260498,0.9887131,0.00000496518,0.00003049829,0.00006058945,0.0002417166,0.00004626831,0.004122845,0.001079874,0.002357545,0.000274623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897316,0.00002318726,0.000001393038,0.004831492,0.0001924112,0.0005770828,0.00002219691,0.0001137338,0.004506921],"genre_scores_gemma":[0.995794,0.0001657073,0.001920323,0.001181196,0.00007843161,0.0001341963,0.00004848045,0.00001952106,0.0006581677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01740033,"threshold_uncertainty_score":0.9999914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007445678418716302,"score_gpt":0.2018690352186125,"score_spread":0.1944233567998962,"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."}}