{"id":"W7034771545","doi":"","title":"Understanding Factors Influencing Agricultural Expansion in the Canadian Boreal Forest","year":2022,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Historical and Religious Studies of Rome","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Boreal; Climate change; Wetland; Agriculture; Agricultural land","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":[0.0004500206,0.00024817,0.000156868,0.0007349244,0.001426948,0.001267019,0.0004123211,0.0002072771,0.001205413],"category_scores_gemma":[0.001751772,0.0001301738,0.0002973614,0.001001431,0.0006651582,0.0004352554,0.0004142753,0.0003222576,0.00008107789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01083289,"about_ca_system_score_gemma":0.01069018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9797531,"about_ca_topic_score_gemma":0.992422,"domain_scores_codex":[0.9997385,0.00003149724,0.000006432743,0.00004777303,0.00006506848,0.0001107008],"domain_scores_gemma":[0.9994975,0.0001300731,0.00008386645,0.00001545649,0.0001858169,0.00008719733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007261352,0.00004282131,0.9591772,0.00003785301,0.00006325067,0.0002107833,0.001375273,0.01447265,0.001041973,0.001397013,0.001428042,0.02068048],"study_design_scores_gemma":[0.000003366211,0.00001413276,0.9825794,0.00002099715,0.00003448283,0.00005159806,0.003387376,0.0104765,0.0001458469,0.0003594252,0.002910643,0.00001636483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911204,0.000351051,0.0003798182,0.0002461264,0.000003399191,0.00001773909,0.0004263838,0.00001183714,0.007443188],"genre_scores_gemma":[0.998304,0.0003982669,0.0003899526,0.0000261033,0.000002113657,0.000004060217,0.0002621181,0.000003901471,0.0006094119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02024686,"threshold_uncertainty_score":0.0785985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208734228960939,"score_gpt":0.2034796666288899,"score_spread":0.1613923243392805,"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."}}