{"id":"W7111736352","doi":"","title":"The 30 × 30 Protection Target: Attitudes of Residents from Seven Countries","year":2025,"lang":"","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Convention on Biological Diversity; Government (linguistics); Convention; Baseline (sea); Global biodiversity; Sustainable development; Developing country","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":[0.001996054,0.0001656242,0.0002262434,0.0006229426,0.001416219,0.001091739,0.0002542766,0.0007844028,0.001861705],"category_scores_gemma":[0.002832974,0.0002849159,0.0002452577,0.0005738805,0.001019807,0.001111902,0.001360773,0.001280421,0.0004336457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006567057,"about_ca_system_score_gemma":0.0006345284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01655676,"about_ca_topic_score_gemma":0.01901136,"domain_scores_codex":[0.9992664,0.0002666639,0.00004180254,0.00006130603,0.0001593777,0.0002043484],"domain_scores_gemma":[0.997079,0.0004639893,0.0006336051,0.00008543624,0.0006577006,0.001080297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001397963,0.0002734529,0.850495,0.0001021466,0.00003338994,0.0005396794,0.1278521,0.0001345632,0.001199735,0.0004026964,0.003111408,0.01571615],"study_design_scores_gemma":[0.000009832807,0.0004565808,0.6785253,0.00008676193,0.00001250269,0.0003715858,0.3110476,0.0002103863,0.0003635489,0.00009956501,0.008768066,0.00004830084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983815,0.00004043446,0.0000292147,0.000240206,0.000007787731,0.00001454607,0.00006501698,0.000001360239,0.001219917],"genre_scores_gemma":[0.9980792,0.0001434425,0.00009617546,0.0004680272,0.000007963342,0.00003810499,0.0001225391,0.000002405484,0.001042116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01655676,"threshold_uncertainty_score":0.03292078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432862874034782,"score_gpt":0.2734561700805819,"score_spread":0.2591275413402341,"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."}}