{"id":"W4395040371","doi":"10.1353/aca.2023.a925084","title":"Reclaiming the History of the Maritime Marshland Rehabilitation Administration","year":2023,"lang":"en","type":"article","venue":"Acadiensis","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marsh; Administration (probate law); Rehabilitation; Archaeology; Geography; Political science; Ecology; Psychology; Wetland; Law; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000293511,0.00004345038,0.00004222984,0.00001339488,0.00007247947,0.000003772987,0.0001341524,0.00001767017,0.0003301107],"category_scores_gemma":[0.0001008878,0.00002575859,0.00004192895,0.0001850424,0.0001484954,0.00005557006,0.0006753713,0.00004901625,0.0001141093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001402719,"about_ca_system_score_gemma":0.000007043391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003139653,"about_ca_topic_score_gemma":0.000676954,"domain_scores_codex":[0.9994902,0.00004292594,0.0001056376,0.000109123,0.0001583516,0.0000937595],"domain_scores_gemma":[0.9996296,0.0001037753,0.00004804202,0.0001998648,0.000004279989,0.00001445251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003650258,0.00005036526,0.06695008,0.00003928601,0.00001806079,0.000003076188,0.003523844,0.0004221109,0.003106548,0.002960038,0.5052432,0.4176469],"study_design_scores_gemma":[0.00007591306,0.00005718672,0.6274146,0.000008995441,0.00001709677,0.0000014235,0.0002954284,0.001005836,0.00009134601,0.004612717,0.3663621,0.00005731731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8430442,0.00002043414,0.00003364582,0.01475868,0.0006735481,0.0003678119,0.000003300769,0.00005201303,0.1410464],"genre_scores_gemma":[0.9752954,0.00001023574,0.00007382274,0.0002134089,0.00001417803,0.00001386136,0.000002656381,0.000003842444,0.02437255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5604646,"threshold_uncertainty_score":0.361448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011595799597029,"score_gpt":0.1973326295610198,"score_spread":0.1872166715650495,"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."}}