{"id":"W2109738682","doi":"10.1007/s10980-007-9153-z","title":"Landscape effects of forest loss in a pollination system","year":2007,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":107,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Division of Environmental Biology; Ministry of Natural Resources; Rotary Foundation","keywords":"Pollinator; Pollination; Woodland; Ecology; Species richness; Abundance (ecology); Deciduous; Biology; Landscape ecology; Geography; Pollen; Habitat","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":[0.0002243128,0.0000745566,0.0001943342,0.00002363364,0.00004826853,0.000004449514,0.00009219782,0.00009435981,0.00002944915],"category_scores_gemma":[0.00003898699,0.00002858983,0.00003717022,0.0002036335,0.00002040797,0.00002869908,0.00003468286,0.00005609003,0.00001784596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056413,"about_ca_system_score_gemma":0.000002384874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006626124,"about_ca_topic_score_gemma":0.03221373,"domain_scores_codex":[0.9993712,0.00002883132,0.0001743626,0.0001285015,0.00006837108,0.0002287482],"domain_scores_gemma":[0.9993866,0.0004761543,0.00007041292,0.00001242941,0.00002440607,0.00002999753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005208172,0.0000501213,0.9912199,0.00003569228,0.000007923203,0.00004933586,0.00004576666,0.000002031712,0.005943117,0.001190471,0.0001568279,0.001246765],"study_design_scores_gemma":[0.0002669654,0.0002569219,0.9979064,0.00002290887,0.0000065666,0.00001217509,0.0001967121,0.00006096207,0.0006396682,0.000102689,0.0004611854,0.00006679442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939669,0.0002676289,0.000001886276,0.0001254851,0.0001140905,0.0001218503,0.000006489759,0.0000282342,0.005367405],"genre_scores_gemma":[0.9997063,0.00002443045,0.00001003027,0.00002992539,0.0001438405,0.000006745571,0.0000144366,4.52012e-7,0.00006379121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03214747,"threshold_uncertainty_score":0.9854459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009293866243541756,"score_gpt":0.1943678485805943,"score_spread":0.1850739823370526,"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."}}