{"id":"W2902495158","doi":"","title":"Adaptation of a crop composition and configuration analysis method to European agricultural landscapes","year":2012,"lang":"en","type":"preprint","venue":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Biodiversity; Quadrat; Geography; Ecosystem services; Environmental resource management; Geomatics; Geostatistics; Agriculture; Ecology; Remote sensing; Ecosystem; Spatial variability; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004759867,0.0009663224,0.0009658686,0.004965674,0.0005502368,0.00131041,0.001007299,0.0005659607,0.003569313],"category_scores_gemma":[0.00910182,0.0003666105,0.001248197,0.003979302,0.0006001458,0.0006948307,0.001287718,0.0006529363,0.0007541314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005579697,"about_ca_system_score_gemma":0.00088167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007635704,"about_ca_topic_score_gemma":0.01020783,"domain_scores_codex":[0.996353,0.001787673,0.000304438,0.0009339232,0.0004382166,0.000182765],"domain_scores_gemma":[0.9939102,0.003613477,0.0003327951,0.001246808,0.0007357147,0.0001610507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001098283,0.0008517598,0.08716519,0.0004231405,0.0006656953,0.0002806698,0.001332341,0.03825727,0.05044371,0.004850601,0.002432331,0.8121991],"study_design_scores_gemma":[0.0003651192,0.001303983,0.3833554,0.00009736433,0.0003328877,0.0008924779,0.001132951,0.5279818,0.04324592,0.009643864,0.03135315,0.0002950991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1231237,0.0001123993,0.8696252,0.00003470407,0.00003960083,0.0009200716,0.001660385,0.002744043,0.001740034],"genre_scores_gemma":[0.2056191,0.00004911998,0.78992,0.00002305956,0.00001529915,0.001356839,0.001861958,0.0003484577,0.0008062228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007635704,"threshold_uncertainty_score":0.02517289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631551746590783,"score_gpt":0.2262335487405018,"score_spread":0.209918031274594,"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."}}