{"id":"W4387409807","doi":"10.1002/2688-8319.12271","title":"Precision agricultural data and ecosystem services: Can we put the pieces together?","year":2023,"lang":"en","type":"article","venue":"Ecological Solutions and Evidence","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lethbridge College; University of Lethbridge; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecosystem services; Ecosystem; Agriculture; Environmental resource management; Spatial ecology; Spatial analysis; Yield (engineering); Scale (ratio); Computer science; Range (aeronautics); Service (business); Temporal scales; Data science; Environmental science; Ecology; Geography; Remote sensing; Business; Cartography; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04969622,0.0007719491,0.001396319,0.006630122,0.001733389,0.01080798,0.002656355,0.003197273,0.007938494],"category_scores_gemma":[0.2410369,0.0009283703,0.00136357,0.01463202,0.005879524,0.02470302,0.006764431,0.004992042,0.0009836152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00434982,"about_ca_system_score_gemma":0.00426271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02382132,"about_ca_topic_score_gemma":0.02310466,"domain_scores_codex":[0.9704036,0.01801966,0.003046183,0.001844983,0.005810802,0.0008747651],"domain_scores_gemma":[0.7453589,0.1871811,0.018054,0.01930118,0.02728727,0.002817652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005261691,0.0001911587,0.4080693,0.003513522,0.001470734,0.0003958544,0.004222744,0.005620963,0.0005117261,0.0851067,0.03041743,0.4599538],"study_design_scores_gemma":[0.0001303664,0.0005296684,0.2645106,0.02128659,0.0009923136,0.001599637,0.02209614,0.01979607,0.002036127,0.428128,0.2383192,0.0005753451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2163112,0.09926949,0.09475198,0.5212249,0.004475693,0.0004068245,0.008161592,0.000569549,0.05482895],"genre_scores_gemma":[0.9040883,0.02079837,0.05379729,0.01527786,0.001719306,0.0002133994,0.002058716,0.0002442931,0.001802467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04969622,"threshold_uncertainty_score":0.2628219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05903316508851239,"score_gpt":0.264220507049888,"score_spread":0.2051873419613756,"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."}}