{"id":"W4399828116","doi":"10.32920/26052547.v1","title":"Land Value Capture and Climate Change: An Assessment Framework","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Climate change; Value (mathematics); Land value; Environmental resource management; Environmental science; Geography; Environmental planning; Natural resource economics; Economics; Mathematics; Statistics; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001658005,0.0002195668,0.0002328267,0.000009013869,0.0001588344,0.0003033717,0.0001756718,0.0005157664,0.0003033524],"category_scores_gemma":[0.000001500548,0.00002890813,0.00008024687,0.00006298994,0.00004074713,0.00004576464,0.0007077989,0.0006609258,0.00001896521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000015516,"about_ca_system_score_gemma":0.000007314186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001524687,"about_ca_topic_score_gemma":0.001533117,"domain_scores_codex":[0.9989331,0.00003202316,0.0001467101,0.0004655001,0.0001660263,0.0002566822],"domain_scores_gemma":[0.9996837,0.00002978069,0.0000479999,0.00007532411,0.00002195264,0.000141218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004775419,0.0004816093,0.04698266,0.001096807,0.0002655187,0.0002085959,0.002023348,0.00002302269,0.001152743,0.1839084,0.001637698,0.7621719],"study_design_scores_gemma":[0.0001555306,0.0005343332,0.4014268,0.001096424,0.0001802845,0.00005115735,0.0007669838,0.002792821,0.00007561341,0.4773132,0.1141919,0.001415043],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967402,0.001347804,0.00000591962,0.01957311,0.001873705,0.0006336514,0.0003780547,0.0003156172,0.008470151],"genre_scores_gemma":[0.9898643,0.003533311,0.000861308,0.0007790332,0.002485151,0.00005432781,0.000335704,0.000002325346,0.002084554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7607568,"threshold_uncertainty_score":0.3978063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904918542142887,"score_gpt":0.2974566910561465,"score_spread":0.2684075056347176,"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."}}