{"id":"W2268114277","doi":"","title":"Recovery Strategy for Industrial Development in Native Prairie: Dry Mixedgrass Natural Subregion of Alberta","year":2013,"lang":"en","type":"article","venue":"","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Geography; Forestry; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007420933,0.0002885344,0.000171111,0.00132535,0.002999049,0.002454153,0.00176445,0.000746598,0.003558665],"category_scores_gemma":[0.0008403675,0.0001759391,0.0002295461,0.0008749757,0.0007523617,0.0005054713,0.002155383,0.0006520607,0.0002412882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01573797,"about_ca_system_score_gemma":0.05233458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8448506,"about_ca_topic_score_gemma":0.9657192,"domain_scores_codex":[0.9993348,0.00004707372,0.0000139032,0.00004283786,0.0001397233,0.0004216007],"domain_scores_gemma":[0.9992041,0.00003541733,0.00005058207,0.00002844143,0.0002428254,0.0004385162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001105294,0.001399787,0.4640954,0.0004032363,0.0002682058,0.003819843,0.008714253,0.02127278,0.02705736,0.07359014,0.0535402,0.3447334],"study_design_scores_gemma":[0.0001790736,0.0005287724,0.7397835,0.0002850834,0.0002306556,0.0007125668,0.0376444,0.01984064,0.005861563,0.005604678,0.1892397,0.00008948152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332127,0.0009089743,0.001935782,0.006247536,0.00003745178,0.0003031505,0.0008743634,0.0001249489,0.05635503],"genre_scores_gemma":[0.9503784,0.000577365,0.002587921,0.0008452904,0.00001189202,0.00008052366,0.000623834,0.00001717926,0.04487754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1551494,"threshold_uncertainty_score":0.3121262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707894579396386,"score_gpt":0.2458308978895851,"score_spread":0.2187519520956213,"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."}}