{"id":"W4388703994","doi":"10.31219/osf.io/82hev","title":"A framework for ecological restoration cost accounting across context and scale","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Scale (ratio); Environmental resource management; Economies of scale; Opportunity cost; Business; Cost effectiveness; Matching (statistics); Environmental economics; Economics; Risk analysis (engineering); Geography; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004682322,0.0001672506,0.0001680328,0.0000150171,0.0002229058,0.000150856,0.0001824155,0.0002435761,0.000761747],"category_scores_gemma":[0.0001133372,0.0001547823,0.00005634608,0.00005791611,0.0001766554,0.0001080704,0.001813998,0.0002267697,0.0003884022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053817,"about_ca_system_score_gemma":0.000003840334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003755182,"about_ca_topic_score_gemma":0.003048465,"domain_scores_codex":[0.9987683,0.00002878218,0.0002381328,0.000524802,0.0001921453,0.0002478555],"domain_scores_gemma":[0.9993848,0.0001659432,0.0001310743,0.0002468813,0.000003986073,0.00006738192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001984589,0.0005441374,0.6450776,0.0004441678,0.0001228488,0.00001466278,0.003621992,0.007635455,0.001013027,0.0184087,0.1970634,0.1258556],"study_design_scores_gemma":[0.0005199797,0.00008296115,0.7871155,0.00008085334,0.00003403503,0.000001011938,0.00225402,0.008740947,0.000186387,0.03767124,0.1627562,0.0005569025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8713357,0.00002344192,0.1116849,0.01037615,0.0006719041,0.002886258,0.000074724,0.0002685015,0.002678467],"genre_scores_gemma":[0.9482999,0.000112312,0.03413235,0.007854455,0.00008542204,0.000972893,0.0001292207,0.00003671987,0.008376662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1420378,"threshold_uncertainty_score":0.8340595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06579784883496256,"score_gpt":0.3254083730205564,"score_spread":0.2596105241855938,"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."}}