{"id":"W4399746078","doi":"10.1038/s41893-024-01381-z","title":"Characterizing culture’s influence in land systems","year":2024,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eidgenössische Technische Hochschule Zürich","keywords":"Geography","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":[0.0009266157,0.0002093162,0.0002413153,0.00003296834,0.0001265269,0.0003187185,0.0002760579,0.0005953583,0.00004116609],"category_scores_gemma":[0.0006938989,0.0000781687,0.00009239469,0.0009536658,0.00007894558,0.0005202465,0.0001048878,0.001161252,0.0000115844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006175232,"about_ca_system_score_gemma":0.00009396386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006380668,"about_ca_topic_score_gemma":0.0003283075,"domain_scores_codex":[0.9981617,0.0001640644,0.0003330484,0.0005692106,0.0002775474,0.0004944518],"domain_scores_gemma":[0.9992135,0.0001980995,0.00003432146,0.0001041215,0.0003500351,0.00009994892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008416778,0.0001411996,0.9361616,0.0009985913,0.00001948024,0.0002487916,0.001345416,0.00002865754,0.00606922,0.00945408,0.001118725,0.04433004],"study_design_scores_gemma":[0.00005989256,0.00005083005,0.8682365,0.00005760037,0.000003743421,0.000007588807,0.001443131,0.0001454879,0.0001246635,0.008603071,0.1210343,0.0002331224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905941,0.002434809,6.481197e-7,0.004894395,0.0003629196,0.000655719,0.00001569009,0.0002226661,0.0008190302],"genre_scores_gemma":[0.9985594,0.00003766641,0.000009038746,0.0001705032,0.0001719753,0.00006615682,0.00004664119,0.000001328572,0.0009372666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199156,"threshold_uncertainty_score":0.5045128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004647152358148573,"score_gpt":0.2381887919681929,"score_spread":0.2335416396100443,"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."}}