{"id":"W1980665902","doi":"10.1016/j.biocon.2006.01.022","title":"Using functional traits to assess the role of hedgerow corridors as environmental filters for forest herbs","year":2006,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biological dispersal; Ecology; Seed dispersal; Habitat; Biology; Abundance (ecology); Phenology; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0001115019,0.00008044475,0.0001012201,0.00000417759,0.0002051723,0.00001560794,0.00008518399,0.00005646642,0.00006068302],"category_scores_gemma":[0.00004438848,0.00002577584,0.00006522427,0.00007505505,0.00006840503,0.00003588109,0.00003179947,0.00002998502,0.000006075981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001512673,"about_ca_system_score_gemma":0.000003113752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002247126,"about_ca_topic_score_gemma":0.0005263491,"domain_scores_codex":[0.9994627,0.00003217726,0.0001438975,0.0001442132,0.000084529,0.0001325394],"domain_scores_gemma":[0.9995731,0.0003090684,0.0000651866,0.00001010393,0.00002002975,0.00002257993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008576224,0.00003506559,0.2692398,7.505138e-7,0.000004519971,1.436855e-7,0.000004710867,0.00003058645,0.7274312,0.0009050057,0.0003472198,0.00191517],"study_design_scores_gemma":[0.00006337187,0.0002654677,0.9775487,0.000004698041,0.000005669621,0.000001974868,0.0002057057,0.0002999088,0.004209824,0.001789899,0.01552936,0.00007544106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985537,0.00009659259,0.00005520997,0.0007022182,0.00003029986,0.0002421632,0.000124447,0.00001588043,0.0001795119],"genre_scores_gemma":[0.9990408,0.000005066977,0.0001513729,0.0004391933,0.0001639589,0.00002576502,0.0001167058,4.274532e-7,0.00005665097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7232214,"threshold_uncertainty_score":0.157804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1758475469761459,"score_gpt":0.2374803919578239,"score_spread":0.06163284498167795,"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."}}