{"id":"W4247235381","doi":"10.22215/etd/2011-07183","title":"Does landscape heterogeneity affect bee diversity in farmland?","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affect (linguistics); Diversity (politics); Geography; Cartography; Forestry; Political science; Sociology; Communication","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003741589,0.00008335705,0.0002064672,0.0004018015,0.0003413474,0.000714794,0.0002379062,0.0003650986,0.003167117],"category_scores_gemma":[0.001420645,0.0000978661,0.0001948733,0.0005251074,0.0004382663,0.0005641042,0.0003652136,0.0002033936,0.0002635872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004663346,"about_ca_system_score_gemma":0.0002205586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01521853,"about_ca_topic_score_gemma":0.06669025,"domain_scores_codex":[0.9997171,0.00008208622,0.00001293234,0.00009290842,0.00002549352,0.00006947663],"domain_scores_gemma":[0.9989887,0.0003111396,0.0003784729,0.00006608404,0.00009133776,0.000164253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001368646,0.00006690867,0.9888029,0.00001837973,0.000099322,0.0001176383,0.0002661993,0.0002831515,0.003557333,0.0001165498,0.0002297266,0.006305087],"study_design_scores_gemma":[0.000001171664,0.00002038601,0.9994282,0.000002234644,0.000005734589,0.00001485759,0.0002672405,0.00008867904,0.00002736036,0.00003573453,0.0001074242,8.21115e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987257,0.0001377114,0.00006182155,0.00007064015,0.000002054212,0.000002445388,0.00009251582,0.000001242639,0.0009059313],"genre_scores_gemma":[0.9995759,0.00004761023,0.00004137664,0.00003012132,0.000002167707,0.000001583921,0.00007264672,0.000001311683,0.0002272364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01521853,"threshold_uncertainty_score":0.03025991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05154231840125168,"score_gpt":0.2273917329972891,"score_spread":0.1758494145960375,"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."}}