{"id":"W3009405930","doi":"10.1111/conl.12711","title":"Marine biodiversity offsets: Pragmatic approaches toward better conservation outcomes","year":2020,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Marine protected area; Biodiversity; Marine biodiversity; Environmental resource management; Biodiversity conservation; Geography; Marine conservation; Environmental science; Environmental planning; Ecology; Habitat; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002156031,0.0002319124,0.0002210211,0.00004116435,0.0001753433,0.00006813159,0.0002889458,0.00006002826,0.00488825],"category_scores_gemma":[0.00008507036,0.0002303537,0.00009356703,0.0002899322,0.0002319539,0.0005767815,0.0004065163,0.0001388114,0.00250096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597751,"about_ca_system_score_gemma":0.000006541065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007071598,"about_ca_topic_score_gemma":0.0001023258,"domain_scores_codex":[0.9983984,0.0001204153,0.0003651068,0.0004533744,0.0004146529,0.0002480976],"domain_scores_gemma":[0.9992965,0.00008306216,0.0002040735,0.0002600888,0.000006389778,0.0001498124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001820414,0.00004070209,0.7649938,0.00002952055,0.00002971982,0.000004654598,0.0004125553,0.0001231405,0.002597911,0.0001122716,0.2308779,0.0007596128],"study_design_scores_gemma":[0.0007490362,0.00003131041,0.8473738,0.000004992522,0.00004179503,0.000001190615,0.0001961417,0.00436898,0.0003395113,0.00006084623,0.1465378,0.0002945501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5514752,0.000001917104,0.005191204,0.4415526,0.00006621158,0.000372111,0.00001043375,0.00008740113,0.001242911],"genre_scores_gemma":[0.2854455,0.000008568479,0.01380854,0.6999403,0.00003259682,0.00005813034,0.0003365665,0.00001872632,0.0003511155],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2660298,"threshold_uncertainty_score":0.9982757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05005658748178925,"score_gpt":0.1990198044441215,"score_spread":0.1489632169623323,"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."}}