{"id":"W3027401775","doi":"","title":"The role of functional trait diversity to food web properties and dynamics","year":2016,"lang":"en","type":"article","venue":"101st ESA Annual Meeting (August 7 -- 12, 2016)","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Trait; Diversity (politics); Food web; Ecology; Computer science; Biology; Political science; Trophic level","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":[0.001106394,0.0002697794,0.0003104086,0.0007470944,0.000438988,0.001318778,0.000247156,0.0005255648,0.001422522],"category_scores_gemma":[0.00432491,0.000256254,0.0003817944,0.0004534098,0.0008210948,0.001007223,0.0007833992,0.0005957908,0.0002054922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002950724,"about_ca_system_score_gemma":0.0001704027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001711482,"about_ca_topic_score_gemma":0.004116811,"domain_scores_codex":[0.9996308,0.00016426,0.0000157896,0.0001047556,0.0000338914,0.00005049236],"domain_scores_gemma":[0.9976475,0.001344872,0.0003479532,0.0001886924,0.000172864,0.00029802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003125404,0.00009835581,0.9177271,0.00007988922,0.0006121672,0.0001449749,0.0003706414,0.001883198,0.04239427,0.001727167,0.0003861456,0.03426358],"study_design_scores_gemma":[0.000003733035,0.00004940313,0.9916298,0.000007131696,0.00003675656,0.00008753403,0.0001248662,0.004702023,0.0007409149,0.002353171,0.0002509003,0.00001387218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965887,0.0005004822,0.001618958,0.0001911364,0.00001051507,0.000002050696,0.000110078,0.0000118018,0.0009661783],"genre_scores_gemma":[0.9992428,0.0001296533,0.0003313946,0.00004415604,0.00001413065,0.000001711191,0.00005332984,0.000009465994,0.000173376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001711482,"threshold_uncertainty_score":0.005851269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071247695604381,"score_gpt":0.1780392965530637,"score_spread":0.1673268195970199,"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."}}