{"id":"W2062798036","doi":"10.1016/j.ecolmodel.2013.01.023","title":"The mean function provides robustness to linear inverse modelling flow estimation in food webs: A comparison of functions derived from statistics and ecological theories","year":2013,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"Centre National de la Recherche Scientifique","keywords":"Robustness (evolution); Statistics; Food web; Food chain; Mathematics; Inverse; Probability density function; Ecology; Computer science; Applied mathematics; Trophic level; Biology","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":[0.00064139,0.0001864457,0.0003873523,0.00004250107,0.0004655289,0.00008482178,0.0001779634,0.0002007971,0.0006897886],"category_scores_gemma":[0.000391075,0.0001198013,0.00006329666,0.0003166833,0.0002940316,0.0002446435,0.000204688,0.0002451986,0.00006023056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258565,"about_ca_system_score_gemma":0.00001348338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008051206,"about_ca_topic_score_gemma":0.004236205,"domain_scores_codex":[0.9980233,0.0002815047,0.0006364734,0.0004587135,0.0002336163,0.0003663449],"domain_scores_gemma":[0.9981266,0.001316657,0.0001656011,0.0001945355,0.00005816843,0.0001384253],"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":[0.00006272874,0.0002318498,0.02821313,0.000009251313,0.00002030382,6.755473e-7,0.0005639805,0.9681655,0.00004319571,0.0003709814,0.00003435219,0.002284056],"study_design_scores_gemma":[0.0001765082,0.0004808321,0.02185869,0.000007832805,0.00003083323,2.43113e-7,0.002700876,0.9406146,0.00001598787,0.03393092,0.0000353372,0.0001472713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5171921,0.00001727599,0.4821384,0.000147227,0.00004098339,0.0004016913,0.000006827544,0.00002154849,0.00003398432],"genre_scores_gemma":[0.9259693,0.00001376211,0.07367318,0.00005794822,0.00002077642,0.0002102009,0.00001652609,0.000006923394,0.00003139741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4087772,"threshold_uncertainty_score":0.7552702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893742942644652,"score_gpt":0.2343718879725788,"score_spread":0.2054344585461323,"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."}}