{"id":"W4385779854","doi":"10.1007/s10530-023-03126-z","title":"Non-linear effects on the population performance of Bighead Carp under different maturation schedules","year":2023,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Fisheries and Oceans Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fecundity; Biology; Bighead carp; Population; Population growth; Ecology; Population size; Vital rates; Zoology; Demography; Fishery; Carp; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007785209,0.0003694241,0.0002474836,0.0001877868,0.0002292993,0.0005299319,0.0004400679,0.0004755074,0.001731013],"category_scores_gemma":[0.002572722,0.00022926,0.000641973,0.0001518723,0.0003128758,0.0004257143,0.0004143315,0.0004456435,0.0001958937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009113642,"about_ca_system_score_gemma":0.000541008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163358,"about_ca_topic_score_gemma":0.01523801,"domain_scores_codex":[0.9997998,0.00005466821,0.000008854671,0.00006743616,0.00001562872,0.00005372774],"domain_scores_gemma":[0.9985342,0.0008878045,0.0002107576,0.00008605365,0.0001342274,0.0001468073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001425203,0.0003773363,0.2942205,0.0001253745,0.0003169975,0.0006398327,0.0004097162,0.6390724,0.04892923,0.002017792,0.0007103232,0.01175529],"study_design_scores_gemma":[0.00006526509,0.001429198,0.2833206,0.00001693846,0.0002554999,0.0001889946,0.0003339149,0.7078065,0.004621779,0.001455696,0.0004398352,0.00006574731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984426,0.00002614637,0.0008021065,0.00003522703,0.000003359799,0.000006595183,0.0001482532,0.00001579735,0.0005199066],"genre_scores_gemma":[0.9989654,0.00002234056,0.0002764185,0.00001112018,0.000001174309,0.00001022775,0.0001383454,0.000004810918,0.0005701425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163358,"threshold_uncertainty_score":0.02313173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144459305415414,"score_gpt":0.259852301370104,"score_spread":0.1454063708285626,"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."}}