{"id":"W7002222829","doi":"","title":"Mapping, futures, and landscapes in northwest British Columbia","year":2016,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Historical Geography and Geographical Thought","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Indigenous; Government (linguistics); Vegetation (pathology)","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":[0.0004382402,0.0001558807,0.0002036725,0.002429893,0.005588404,0.003542022,0.0008723854,0.0003923373,0.007877795],"category_scores_gemma":[0.002462906,0.0002661704,0.0001090588,0.007943257,0.001891183,0.0009391382,0.001616453,0.0007996953,0.0003065463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02998403,"about_ca_system_score_gemma":0.02579744,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928302,"about_ca_topic_score_gemma":0.9985585,"domain_scores_codex":[0.9996358,0.00006538662,0.00001804003,0.0000570992,0.00009453561,0.0001292381],"domain_scores_gemma":[0.9987469,0.0002596547,0.00009719128,0.00005867153,0.0006297362,0.000207873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002523631,0.0001408952,0.4566973,0.0005186409,0.0001053722,0.002537879,0.09184048,0.003659717,0.002006288,0.03352335,0.04738612,0.3613317],"study_design_scores_gemma":[0.00001362801,0.00002096236,0.7038022,0.0005892584,0.00004280328,0.0003003758,0.1757701,0.002311108,0.0004467803,0.004998709,0.111628,0.00007611533],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9177818,0.004687054,0.0008392928,0.005648888,0.00003115468,0.00005208557,0.003119176,0.00004175824,0.06779878],"genre_scores_gemma":[0.9816478,0.001815439,0.0008665576,0.0001297885,0.00000384218,0.00002063726,0.0007564091,0.00001828719,0.0147412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02998403,"threshold_uncertainty_score":0.2175504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006255008656804942,"score_gpt":0.2378303995304547,"score_spread":0.2315753908736498,"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."}}