{"id":"W6939249182","doi":"10.60692/geg9k-54d34","title":"Mapping and characterizing social-ecological land systems of South America","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Land use; Structuring; Range (aeronautics); Variable (mathematics); Land cover; Variety (cybernetics); Diversity (politics); Spatial distribution","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":[0.0004923215,0.0001985509,0.0001475741,0.003156804,0.0004882963,0.0007954646,0.0003146524,0.0001991638,0.001037421],"category_scores_gemma":[0.001597808,0.0001250924,0.0002657832,0.003408157,0.0005096994,0.0007047555,0.001335501,0.0001730913,0.0001115592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223362,"about_ca_system_score_gemma":0.0009122773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06402934,"about_ca_topic_score_gemma":0.1501752,"domain_scores_codex":[0.9997423,0.00009213007,0.00001948392,0.00006649292,0.00004241564,0.00003718914],"domain_scores_gemma":[0.9992262,0.0002600629,0.0002036505,0.0001159339,0.0001365723,0.00005746056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005473284,0.00004289295,0.9078562,0.000212785,0.00007938762,0.0002422007,0.01212469,0.00955787,0.00770461,0.005125954,0.001649557,0.05534923],"study_design_scores_gemma":[0.000009548909,0.00002124827,0.9571035,0.00005824562,0.00003028497,0.00008816408,0.0133666,0.01673773,0.0008512909,0.00259672,0.009119898,0.00001680891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929898,0.0001181266,0.002555807,0.0001211197,0.000001290416,0.00005337766,0.00165041,0.00002515114,0.002484927],"genre_scores_gemma":[0.9894085,0.00009823577,0.008173264,0.00001593075,0.000001536152,0.0001012516,0.001835982,0.000009961545,0.0003553791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06402934,"threshold_uncertainty_score":0.1273133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262353753181232,"score_gpt":0.1847979464867068,"score_spread":0.1621744089548945,"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."}}