{"id":"W4403729052","doi":"10.1080/24694452.2024.2410008","title":"America the Beautiful: Meeting “30 × 30” Conservation Goals Through Connected Protected Areas","year":2024,"lang":"en","type":"article","venue":"Annals of the American Association of Geographers","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Geography; Environmental planning; Political science; Environmental ethics; Environmental resource management; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006903135,0.000380828,0.0002119335,0.003929544,0.001711733,0.005785779,0.001195294,0.0007942523,0.005419497],"category_scores_gemma":[0.02489789,0.0002239209,0.0002705019,0.005800668,0.003111649,0.008500558,0.006338069,0.001486202,0.0006477451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227517,"about_ca_system_score_gemma":0.004603343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471742,"about_ca_topic_score_gemma":0.04393446,"domain_scores_codex":[0.9960322,0.001854743,0.0001615107,0.0003334131,0.001282064,0.0003360473],"domain_scores_gemma":[0.9879404,0.002967898,0.002302857,0.002385864,0.002201349,0.002201549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001151508,0.0002620663,0.247951,0.000357404,0.0001456211,0.0001251416,0.006970194,0.007268669,0.0007030883,0.2112606,0.1233917,0.4014493],"study_design_scores_gemma":[0.00004513093,0.0002664596,0.4194184,0.0009647518,0.00009488966,0.0003000808,0.01899082,0.01674934,0.001565514,0.1955124,0.3459761,0.0001161879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4903206,0.002538644,0.06673074,0.06065627,0.0006970461,0.0008163385,0.006211357,0.001261364,0.3707678],"genre_scores_gemma":[0.9383035,0.001105647,0.05006347,0.00271228,0.0001574995,0.0004301558,0.002757418,0.0001698544,0.004300139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01471742,"threshold_uncertainty_score":0.03650773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01389162493853219,"score_gpt":0.2454049444819221,"score_spread":0.2315133195433899,"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."}}