{"id":"W4391485216","doi":"10.1111/conl.13004","title":"Realizing “30 × 30” in India: The potential, the challenges, and the way forward","year":2024,"lang":"en","type":"article","venue":"Conservation Letters","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Business; Environmental resource management; Environmental planning; Geography; Computer science; Natural resource economics; Environmental science; 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":[0.002486414,0.0003021297,0.0002970276,0.0004686083,0.001663886,0.004618356,0.0008845751,0.001551761,0.008858209],"category_scores_gemma":[0.003774877,0.0001072542,0.0005563876,0.0006510091,0.003796713,0.002686778,0.00348946,0.003477275,0.0006511277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003208106,"about_ca_system_score_gemma":0.007438378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02539585,"about_ca_topic_score_gemma":0.02759614,"domain_scores_codex":[0.9981402,0.0006881056,0.00003833725,0.0001012986,0.0003710426,0.0006609964],"domain_scores_gemma":[0.9971666,0.001274159,0.0002982126,0.0001698132,0.0004430822,0.000648136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001412037,0.00008610444,0.007546654,0.0002467177,0.00004657086,0.0008093444,0.001487826,0.007036895,0.0007578387,0.9040656,0.04741356,0.03036156],"study_design_scores_gemma":[0.00004681511,0.0002055924,0.03886043,0.0005239992,0.00006066946,0.0008784245,0.01593915,0.007325896,0.001522636,0.608368,0.3260967,0.0001716422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2692873,0.006970526,0.008703264,0.4343066,0.001363183,0.00007301182,0.0006242463,0.0002007267,0.2784712],"genre_scores_gemma":[0.980434,0.001826189,0.001099771,0.01013969,0.0002124291,0.00002307419,0.00007262863,0.00002433664,0.0061678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02539585,"threshold_uncertainty_score":0.05049604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249171806165072,"score_gpt":0.2299212566106915,"score_spread":0.1974295385490408,"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."}}