{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01920536,0.004454832,0.001739974,0.005090749,0.001368419,0.003309818,0.005896108,0.002263948,0.04923838],"category_scores_gemma":[0.1030311,0.003464337,0.003430879,0.003216613,0.001495969,0.006082461,0.005315953,0.004979665,0.02981838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043437,"about_ca_system_score_gemma":0.002601206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004656687,"about_ca_topic_score_gemma":0.008162389,"domain_scores_codex":[0.9909441,0.005058856,0.001039336,0.00101216,0.001654096,0.0002914958],"domain_scores_gemma":[0.9560655,0.03284925,0.001640885,0.005458022,0.003405515,0.0005808211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006391946,0.0002214769,0.005387398,0.002653474,0.0006016078,0.0007204356,0.00155177,0.06907686,0.004951887,0.09838273,0.3846238,0.4311893],"study_design_scores_gemma":[0.0004957268,0.0001864228,0.001332708,0.0007146074,0.0002834253,0.001252705,0.0005128387,0.4931953,0.01695172,0.2177702,0.2667981,0.0005062924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008291271,0.000164685,0.9507863,0.0004772307,0.0001378873,0.0001588262,0.001477031,0.04455098,0.001417807],"genre_scores_gemma":[0.009359936,0.0001935066,0.9638371,0.0004042813,0.00006164181,0.0009328336,0.001598503,0.02197986,0.001632339],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04923838,"threshold_uncertainty_score":0.1647188,"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."}}