{"id":"W4405123991","doi":"10.1002/pan3.10762","title":"Servicesheds connect people to the landscapes upon which they depend","year":2024,"lang":"en","type":"article","venue":"People and Nature","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Université Laval; Dalhousie University; University of British Columbia, Okanagan Campus; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Ecosystem services; Livelihood; Beneficiary; Fishing; Geography; Agriculture; Provisioning; Population; Environmental resource management; Business; Environmental planning; Ecosystem; Ecology; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002396672,0.0001339746,0.0001335252,0.0000270561,0.0001969688,0.0001861628,0.0002557194,0.0001418299,0.0009650181],"category_scores_gemma":[0.0000100065,0.0000709939,0.00003490847,0.0004195273,4.239114e-7,0.0001927448,0.000204346,0.0002519649,0.000899728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001628043,"about_ca_system_score_gemma":0.000007878461,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038967,"about_ca_topic_score_gemma":0.8405872,"domain_scores_codex":[0.9991232,0.00003403005,0.0001012183,0.0003088352,0.0002006217,0.0002321137],"domain_scores_gemma":[0.9995587,0.0001064309,0.00001631314,0.0002168984,0.000007765693,0.00009388995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005363379,0.000398354,0.6814046,0.003101719,0.0008463892,0.0001716948,0.1416438,0.03724613,0.005691411,0.004323963,0.0733038,0.05133178],"study_design_scores_gemma":[0.0004705246,0.0001885242,0.2481308,0.0001659466,0.0001674721,0.0001632465,0.001724144,0.1129114,0.0009688174,0.001480366,0.6328595,0.0007693218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858692,0.002307386,0.000005495358,0.008713338,0.000367605,0.0001754281,0.00002697193,0.00007180592,0.002462825],"genre_scores_gemma":[0.9988229,0.0002545614,0.00001966329,0.0006085176,0.0001886263,0.00002215162,0.00001816202,0.00001368328,0.00005170728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8385482,"threshold_uncertainty_score":0.9999483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003065680049804117,"score_gpt":0.2091487537452427,"score_spread":0.2060830736954385,"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."}}