{"id":"W4299150054","doi":"","title":"A mapping method of crop composition and configuration to study their effect on biodiversity of European agricultural landscapes","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Biodiversity; Agriculture; Agricultural biodiversity; Crop; Composition (language); Agricultural engineering; Computer science; Agroforestry; Environmental resource management; Geography; Environmental science; Ecology; Engineering; Forestry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005503728,0.000165777,0.0002654589,0.00007256114,0.0002236024,0.00004028906,0.0004878854,0.00008213701,0.00008527107],"category_scores_gemma":[0.0001936973,0.00013191,0.00006193804,0.0002081467,0.0001342526,0.00009118162,0.0009017983,0.0002057806,0.00003375645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000456713,"about_ca_system_score_gemma":0.000008549294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005524124,"about_ca_topic_score_gemma":0.0004395856,"domain_scores_codex":[0.9932805,0.005694409,0.0002589673,0.0003832326,0.0002229093,0.0001600404],"domain_scores_gemma":[0.9981858,0.0008086272,0.0003349467,0.0004491431,0.0001224889,0.00009901928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001099331,0.00219067,0.4170594,0.0001712144,0.0001602971,0.000005759708,0.1029934,0.001363423,0.4130836,0.00123864,0.0004275705,0.06119613],"study_design_scores_gemma":[0.0002909566,0.000004953489,0.8792146,0.0002093686,0.00002753783,0.000004895016,0.0003204423,0.000532242,0.1191033,0.0000472022,0.00008227916,0.0001621711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754651,0.00002481928,0.008486971,0.0006988179,0.00006125122,0.0004881896,0.00005512285,0.00002840001,0.01469139],"genre_scores_gemma":[0.9953661,0.00001407633,0.004394287,0.00002735221,0.000004135706,0.00000869896,0.00008745149,0.000003844708,0.00009404078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4621553,"threshold_uncertainty_score":0.5379134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282159885838299,"score_gpt":0.2181109626835857,"score_spread":0.2052893638252027,"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."}}