{"id":"W7075730539","doi":"","title":"Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS","year":2013,"lang":"en","type":"article","venue":"Figshare","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa; Dalhousie University; McMaster University","funders":"","keywords":"Flexibility (engineering); Variety (cybernetics); Range (aeronautics); Code (set theory); Nonlinear system; Source code","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001270053,0.00008033703,0.00009460888,0.00001156117,0.00004235489,0.00007133858,0.00006936972,0.0000269774,0.005365147],"category_scores_gemma":[0.000007794069,0.00006774528,0.00003641747,0.00003350154,0.000007719738,0.0002104242,0.00005417965,0.00007408058,0.00006530733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004260178,"about_ca_system_score_gemma":0.00003619724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000619274,"about_ca_topic_score_gemma":4.982976e-7,"domain_scores_codex":[0.999558,0.000007079663,0.000102323,0.0001404385,0.00004684211,0.0001453325],"domain_scores_gemma":[0.9996945,0.0001323208,0.00002711097,0.00004853614,0.00005666549,0.00004090359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001275006,0.0002657806,0.00004667316,0.00009482986,0.0000226909,5.175368e-7,0.0003060652,0.3018038,0.00009437052,0.6489947,0.01903634,0.02932144],"study_design_scores_gemma":[0.0001202582,0.00001122358,0.0001071947,0.00003424495,9.57933e-7,4.089656e-8,0.00008718113,0.5228453,0.0000145987,0.476634,0.00009242777,0.00005264764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6588897,0.0002600817,0.06924302,0.001391419,0.00006757298,0.003055349,0.2192275,0.0002218371,0.04764349],"genre_scores_gemma":[0.988931,9.854857e-8,0.003810161,0.00007286878,0.00007090686,0.0002795266,0.006770374,0.000007664335,0.00005741535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300413,"threshold_uncertainty_score":0.9955441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03120803249640886,"score_gpt":0.2577497160726069,"score_spread":0.226541683576198,"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."}}