{"id":"W4412039774","doi":"10.1080/18626033.2024.2509439","title":"Landscape Fieldwork: How Engaging the World Can Change Design / Fieldwork in Landscape Architecture: Methods, Actions, Tools","year":2024,"lang":"en","type":"article","venue":"Journal of Landscape Architecture","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Landscape architecture; Landscape design; Architecture; Landscape assessment; Geography; Environmental resource management; Landscape history; Landscape archaeology; Architectural engineering; Environmental planning; Engineering; Civil engineering; Archaeology; Environmental science","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002511291,0.0004320966,0.0005310375,0.0005390912,0.0002832563,0.000476135,0.0007872171,0.00020335,0.00140258],"category_scores_gemma":[0.00027731,0.0002576918,0.0003176248,0.001255542,0.00008433948,0.0002928994,0.0001610959,0.002361718,0.00002894588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000649343,"about_ca_system_score_gemma":0.00007074517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003562507,"about_ca_topic_score_gemma":0.0005550194,"domain_scores_codex":[0.9966668,0.001002852,0.0005496293,0.0004574977,0.0006160419,0.0007071708],"domain_scores_gemma":[0.9961357,0.002890107,0.0002647965,0.0004580601,0.00002071021,0.0002305879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005338459,0.0001525333,0.05245091,0.0001112023,0.0003014806,0.001078081,0.01803621,0.02713706,0.001986745,0.00006062529,0.528858,0.3692933],"study_design_scores_gemma":[0.002682622,0.0009174999,0.05965676,0.001599482,0.0004942768,0.003803419,0.003764603,0.01964829,0.002162439,0.00302124,0.9005089,0.001740415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2691521,0.07058281,0.3113856,0.2733576,0.01182623,0.005086101,0.0002127885,0.001086507,0.05731028],"genre_scores_gemma":[0.9799376,0.0002393122,0.01400159,0.001615555,0.00158317,0.00005216135,0.00001667591,0.00007088156,0.002483094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7107854,"threshold_uncertainty_score":0.9999875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06047967259681754,"score_gpt":0.2984369633754227,"score_spread":0.2379572907786052,"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."}}