{"id":"W2941372777","doi":"","title":"\"Dakota Marshes\" and \"Thanksgiving\"","year":2016,"lang":"en","type":"article","venue":"Dalhousie review","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Marsh; Archaeology; Forestry; Geology; Geography; Ecology; Biology; Wetland","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001185647,0.0005315786,0.0003061768,0.0009003609,0.003833778,0.004325945,0.0009688169,0.001834306,0.006567733],"category_scores_gemma":[0.001766334,0.0001970978,0.0002665671,0.001398416,0.007660214,0.003220809,0.003771798,0.002978919,0.0008306955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006444907,"about_ca_system_score_gemma":0.01851822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.172704,"about_ca_topic_score_gemma":0.5135542,"domain_scores_codex":[0.9995603,0.0001025565,0.00002287801,0.00006147519,0.00008914859,0.0001635915],"domain_scores_gemma":[0.9994472,0.0001125014,0.00008753603,0.00004387176,0.0001678345,0.0001410058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005370981,0.00004075838,0.003166202,0.001629717,0.00003276495,0.0003035682,0.005926857,0.0001870904,0.000538866,0.3498935,0.4315511,0.2066759],"study_design_scores_gemma":[0.000004176231,0.000007573971,0.003383903,0.0005459105,0.00001199957,0.00007217922,0.003545679,0.00001904912,0.00009110552,0.00358237,0.9887243,0.00001166041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.02180404,0.3990487,0.001603992,0.1800164,0.01384075,0.00005570409,0.0003329524,0.0001321874,0.3831653],"genre_scores_gemma":[0.2384402,0.4644811,0.001461674,0.07188056,0.001567286,0.00009913104,0.0002020509,0.00007636409,0.2217917],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.172704,"threshold_uncertainty_score":0.3433974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008651540841463775,"score_gpt":0.2072194380223626,"score_spread":0.1985678971808988,"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."}}