{"id":"W3027519009","doi":"10.1111/cobi.13540","title":"Prioritizing debt conversion opportunities for marine conservation","year":2020,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nature Conservancy of Canada","funders":"","keywords":"Investment (military); Debt; Prioritization; Business; Finance; Welfare economics; Economics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222438,0.00009478611,0.0001464053,0.00001466505,0.0001493508,0.00001084749,0.00008701867,0.00005601081,0.0003580276],"category_scores_gemma":[0.0001803581,0.0000874883,0.00003729351,0.00008580284,0.0001058445,0.0001192787,0.0002307566,0.00004112154,0.00006987066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003857221,"about_ca_system_score_gemma":0.00001506341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004468405,"about_ca_topic_score_gemma":0.000208308,"domain_scores_codex":[0.999348,0.00003930051,0.0002055152,0.0002114175,0.00004765097,0.0001481499],"domain_scores_gemma":[0.9995962,0.0001392921,0.00009660717,0.0000725228,0.00003524998,0.00006008227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009739855,0.00001593976,0.8902531,0.0000580462,0.0000183676,0.00000235591,0.0001887643,0.000001091896,0.01756116,0.005916238,0.07144653,0.01444106],"study_design_scores_gemma":[0.0006835285,0.0002570177,0.1653683,0.000006521241,0.00001751152,0.000003821062,0.0003908604,0.006235863,0.0006426318,0.001959924,0.8242397,0.0001942831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9115211,0.00002653617,0.002669921,0.07863626,0.0002784187,0.00047848,0.00002309677,0.0001126615,0.006253542],"genre_scores_gemma":[0.9775679,0.00008039123,0.001616793,0.01910388,0.0001148724,0.00008055383,0.0002057678,0.00001008394,0.001219802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7527932,"threshold_uncertainty_score":0.3920152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09879099091452126,"score_gpt":0.2541862545982836,"score_spread":0.1553952636837624,"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."}}