{"id":"W2474805699","doi":"10.1002/ecs2.1371","title":"Spatial extent of neighboring plants influences the strength of associational effects on mammal herbivory","year":2016,"lang":"en","type":"article","venue":"Ecosphere","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Herbivore; Foraging; Ecology; Ecosystem; Biology; Mammal; Spatial heterogeneity; Spatial ecology; Population; Plant community; Species richness","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001566919,0.00005762708,0.00008032445,0.000004128103,0.00005484724,0.000002312693,0.0001301521,0.00004886086,0.001823508],"category_scores_gemma":[0.00008512032,0.0000330568,0.00003052562,0.00003750204,0.00007545223,0.00008246828,0.00004294982,0.00004452864,0.0001871389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004859115,"about_ca_system_score_gemma":0.00001295294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000199081,"about_ca_topic_score_gemma":0.0004907842,"domain_scores_codex":[0.9994118,0.00006233753,0.0001394351,0.0001045563,0.000180057,0.0001017971],"domain_scores_gemma":[0.9992675,0.000461921,0.0001465164,0.0001002274,0.000005445617,0.00001836834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004306347,0.0000451489,0.9678771,0.000006615485,0.00001599229,9.433592e-7,0.00007346084,0.0001133874,0.001619229,0.0002296374,0.001851687,0.02812366],"study_design_scores_gemma":[0.000251112,0.0001212432,0.9904244,0.00004760923,0.000005137991,3.57547e-7,0.00001791838,0.00006236591,0.008237829,0.0005925749,0.0001963923,0.00004304299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944007,0.00002036716,0.00003922082,0.0004310477,0.0001477966,0.00008561763,0.000005658776,0.000006710894,0.004862849],"genre_scores_gemma":[0.999338,0.000006854346,0.00005674468,0.0001334043,0.00004831609,0.000009372182,8.002596e-7,0.000003109718,0.0004034068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02808062,"threshold_uncertainty_score":0.9990889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005845545739883913,"score_gpt":0.2001355956557524,"score_spread":0.1942900499158685,"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."}}