{"id":"W2807992101","doi":"10.1111/oik.05398","title":"What makes trait–abundance relationships when both environmental filtering and stochastic neutral dynamics are at play?","year":2018,"lang":"en","type":"article","venue":"Oikos","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Trait; Skewness; Relative species abundance; Abundance (ecology); Ecology; Kurtosis; Neutral theory of molecular evolution; Econometrics; Statistics; Biology; Mathematics; Computer science","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":[0.004722946,0.0003360369,0.0009895146,0.0007448143,0.0007075425,0.002494512,0.0009284317,0.001798604,0.00146828],"category_scores_gemma":[0.04272532,0.0005314762,0.0007375515,0.0006859291,0.002025297,0.003651305,0.0007748736,0.001002361,0.0002549578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007445521,"about_ca_system_score_gemma":0.0004130739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004447784,"about_ca_topic_score_gemma":0.004557522,"domain_scores_codex":[0.9976562,0.000937731,0.0001005956,0.0008552407,0.0001790437,0.0002711383],"domain_scores_gemma":[0.9806419,0.01293761,0.003581786,0.001413974,0.0007421289,0.0006826453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003734214,0.0001261683,0.8321875,0.0002937412,0.0009972909,0.00128702,0.001359006,0.07130758,0.02351254,0.02224306,0.001297193,0.04501552],"study_design_scores_gemma":[0.00005809238,0.0002737225,0.5916476,0.00005859112,0.0003539021,0.001236945,0.001454867,0.320791,0.00303324,0.07892238,0.002004084,0.0001656391],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975646,0.0003355003,0.0205133,0.001283582,0.00002526898,0.00001350645,0.0002031687,0.000120764,0.001859057],"genre_scores_gemma":[0.9981297,0.00007290941,0.001501201,0.00008228065,0.00001706023,0.000007379526,0.00006119064,0.00002055204,0.0001078159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004722946,"threshold_uncertainty_score":0.02497768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820071590626353,"score_gpt":0.2238077307810146,"score_spread":0.1956070148747511,"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."}}