{"id":"W4243357036","doi":"10.11647/obp.0193.22","title":"Land","year":2020,"lang":"en","type":"book-chapter","venue":"Open Book Publishers","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Oil Sands Technology and Research Authority; University of British Columbia","funders":"","keywords":"Geography; Per capita; Land degradation; Consumption (sociology); Population; Biodiversity; Natural resource economics; Environmental degradation; Agroforestry; Environmental protection; Agriculture; Environmental science; Ecology; Economics; Archaeology; Social science; Biology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001804042,0.0004124028,0.000392141,0.00001851372,0.0001670204,0.001001669,0.001351674,0.0003450358,0.1084526],"category_scores_gemma":[0.00003421096,0.0003310798,0.0001579935,0.00004305962,0.0003446934,0.003110841,0.002043909,0.0005314546,0.007558887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007589902,"about_ca_system_score_gemma":0.00003590688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004896385,"about_ca_topic_score_gemma":0.0001448233,"domain_scores_codex":[0.9981543,0.0000209677,0.0002775911,0.0007445526,0.0004638197,0.0003387962],"domain_scores_gemma":[0.9988898,0.00002505824,0.0001680621,0.0004928229,0.000005052333,0.0004192015],"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":[0.00002841164,0.00002351931,0.0007753788,0.00001240369,0.00004476965,0.00005899579,0.0001339767,0.00005761972,0.00001102574,0.001966968,0.992333,0.004553934],"study_design_scores_gemma":[0.0002304673,0.00009221531,0.001128897,0.00001732028,0.00004045748,0.000009481673,0.00006070027,0.000004207584,0.000006789629,0.007004001,0.9909372,0.0004682419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003441201,0.0001183422,0.00000635315,0.004724415,0.0001215655,0.0008405657,0.00002704159,0.00005328638,0.994074],"genre_scores_gemma":[0.001240265,0.00003397382,0.0001867438,0.005071989,0.000111996,0.00002152803,0.0001582545,0.0000629218,0.9931123],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1008937,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313254803009272,"score_gpt":0.2117913629241777,"score_spread":0.198658814894085,"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."}}