{"id":"W6929570417","doi":"10.5063/f1bk19qx","title":"Shrub density effects on the community structure and composition of a desert animal community","year":2020,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Shrub; Community structure; Abundance (ecology); Plant community; Animal species; Community; Relative species abundance; Desert (philosophy)","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":[0.001314561,0.00117771,0.001085973,0.002221535,0.0007171968,0.001491891,0.002256741,0.001232703,0.01971946],"category_scores_gemma":[0.004264665,0.0004742599,0.0009168583,0.003537703,0.0003642394,0.0009263583,0.001500022,0.001140323,0.01843319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287239,"about_ca_system_score_gemma":0.0009639307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04157589,"about_ca_topic_score_gemma":0.09007633,"domain_scores_codex":[0.9994336,0.0001178234,0.00006724831,0.0001874486,0.00009304387,0.0001008522],"domain_scores_gemma":[0.9983717,0.0005412637,0.0002831589,0.0002617786,0.0003637258,0.0001785321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004455461,0.0001625781,0.03309434,0.002287014,0.0002560053,0.0001266046,0.000194874,0.001648384,0.0004885293,0.0009223731,0.9496821,0.01069174],"study_design_scores_gemma":[0.001741462,0.0001601798,0.2605676,0.00122315,0.0003880659,0.0004778572,0.0009248456,0.005630144,0.001019814,0.003142263,0.7245711,0.0001535828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004042488,0.0001712276,0.00008905487,0.000107639,0.00002162769,0.00001310735,0.9948605,0.000117146,0.0005772049],"genre_scores_gemma":[0.005874911,0.00008912341,0.0004041591,0.00004911612,0.000009716255,0.0001044279,0.9927704,0.00002907543,0.0006691373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04157589,"threshold_uncertainty_score":0.08266777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06708399316001833,"score_gpt":0.2861844426444795,"score_spread":0.2191004494844612,"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."}}