{"id":"W4412534145","doi":"10.1088/2752-664x/adf22f","title":"Land use strategies for achieving Chile’s nationally determined contributions","year":2025,"lang":"en","type":"article","venue":"Environmental Research Ecology","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research and Productivity Council","funders":"Inter-American Development Bank","keywords":"Environmental planning; Business; Natural resource economics; Geography; Economics","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":[0.001885896,0.0003460737,0.00019594,0.0005067494,0.0006332585,0.002567357,0.0009081392,0.0006042047,0.007314502],"category_scores_gemma":[0.002330757,0.0001683371,0.0004899605,0.0007578625,0.0004152544,0.001052515,0.001916836,0.0007049828,0.0005049524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005932461,"about_ca_system_score_gemma":0.007652241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06155547,"about_ca_topic_score_gemma":0.07057847,"domain_scores_codex":[0.9991041,0.0004025394,0.00002709713,0.00005366527,0.0001503962,0.0002621271],"domain_scores_gemma":[0.9994757,0.0001157482,0.00007226218,0.00005681105,0.0001734078,0.0001063029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002607523,0.0006018466,0.1105543,0.000799706,0.0003251421,0.001095867,0.001850062,0.2703696,0.00526695,0.4162164,0.06167588,0.1309835],"study_design_scores_gemma":[0.0003570195,0.0006168419,0.1441611,0.0007747535,0.0001956238,0.0003956842,0.01187592,0.241793,0.00542698,0.09816407,0.4960321,0.0002069047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6146688,0.001213582,0.01337306,0.01660655,0.0001270057,0.000463293,0.003233922,0.0005151075,0.3497988],"genre_scores_gemma":[0.9814139,0.0003136166,0.005022004,0.0004240538,0.00001125159,0.0002669074,0.0006347246,0.00002295303,0.01189048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06155547,"threshold_uncertainty_score":0.1223944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05264620677216299,"score_gpt":0.3074222543965083,"score_spread":0.2547760476243454,"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."}}