{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005703999,0.0003574686,0.0004530869,0.00005453976,0.0007267005,0.0001794442,0.0007803116,0.0001986256,0.00002504036],"category_scores_gemma":[0.0002150598,0.0002254623,0.0001056403,0.0002149875,0.0007576731,0.0003169119,0.001160871,0.002185959,0.0001315127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001002088,"about_ca_system_score_gemma":0.00001850564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001965872,"about_ca_topic_score_gemma":0.000003222243,"domain_scores_codex":[0.9980415,0.00100582,0.0002609309,0.0002639579,0.0002151143,0.0002127124],"domain_scores_gemma":[0.99748,0.001593449,0.0001953943,0.0006058815,0.0000133901,0.0001119332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003380991,0.0002415341,0.0008068006,0.0002766188,0.00001508655,0.0000550378,0.00003263586,6.823949e-8,0.01978558,0.0000121232,0.9780822,0.0003542173],"study_design_scores_gemma":[0.0009488155,0.003104691,0.0133369,0.00057953,0.0002065087,0.0002067908,0.000127659,0.00000407202,0.528211,0.004304069,0.4479635,0.001006428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4775245,0.00001210944,7.691968e-8,0.0005969083,0.00005481528,0.000200406,0.521524,0.00003979859,0.00004734112],"genre_scores_gemma":[0.6161259,0.00001702728,0.000002423574,0.00394579,0.00004483916,0.000006106565,0.3798385,0.00001514607,0.000004233923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5301186,"threshold_uncertainty_score":0.9497026,"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."}}