{"id":"W2164572898","doi":"10.1111/jbi.12451","title":"A continent‐wide study reveals clear relationships between regional abiotic conditions and post‐dispersal seed predation","year":2014,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Division of Environmental Biology; National Science Foundation","keywords":"Ecology; Abiotic component; Evapotranspiration; Abundance (ecology); Biological dispersal; Seed predation; Precipitation; Biology; Seed dispersal; Akaike information criterion; Spatial ecology; Temperate climate; Environmental science; Geography; Population; Statistics; Demography","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":[0.0005240439,0.0001781593,0.0002473963,0.0003645214,0.0002760239,0.0003614248,0.000190795,0.0001681765,0.001446259],"category_scores_gemma":[0.0008626029,0.0001191721,0.0004363304,0.0004943144,0.0002432864,0.0002031269,0.0003543983,0.000236118,0.0001393073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008989441,"about_ca_system_score_gemma":0.000126087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0066177,"about_ca_topic_score_gemma":0.01209003,"domain_scores_codex":[0.9998422,0.00006450019,0.000009364896,0.0000454009,0.00001407088,0.00002442428],"domain_scores_gemma":[0.9993193,0.0002077909,0.000214806,0.0001078724,0.00006211384,0.00008814385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005716252,0.00001744162,0.9946285,0.00001663832,0.0002238076,0.00009595745,0.0001800926,0.00009227628,0.001066005,0.00003024865,0.0001193067,0.003472649],"study_design_scores_gemma":[6.066196e-7,0.000008775003,0.9997321,0.000001449731,0.00001367079,0.00002453626,0.00005136083,0.0000902171,0.00001632353,0.000005379713,0.00005480159,6.842238e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993265,0.0001925253,0.0001156724,0.00002709923,0.000002799423,0.000001040721,0.0001151223,0.000004640193,0.0002147873],"genre_scores_gemma":[0.9997349,0.00005300849,0.00005954036,0.00001002337,0.000002900259,0.00000102092,0.00008338562,0.000001667386,0.0000535978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0066177,"threshold_uncertainty_score":0.01315838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250619848010559,"score_gpt":0.2367662535126026,"score_spread":0.224260055032497,"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."}}