{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004210071,0.0003157951,0.0008301694,0.001088806,0.0007955854,0.0001560921,0.0007711971,0.002110324,0.0001670519],"category_scores_gemma":[0.0005215315,0.0004122107,0.0002411997,0.003404004,0.001104539,0.0002851594,0.00008098129,0.0008757805,0.000008692646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036564,"about_ca_system_score_gemma":0.0002657278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06920606,"about_ca_topic_score_gemma":0.9259792,"domain_scores_codex":[0.9972301,0.00008367503,0.0006169355,0.0007798882,0.0005750416,0.0007143401],"domain_scores_gemma":[0.9986356,0.00005957257,0.0004487087,0.0004426537,0.0002211542,0.0001922745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005537283,0.0004204302,0.5555966,0.0004453996,0.000329673,0.0003535367,0.004174769,5.963281e-7,0.0001911601,0.006467552,0.01325652,0.4187083],"study_design_scores_gemma":[0.0005795591,0.00006103266,0.08907886,0.0007657113,0.00004286429,0.000004344306,0.001626016,2.727848e-7,0.00001417849,0.005221028,0.9021054,0.0005007219],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332823,0.01571409,0.00001293211,0.002673069,0.002453848,0.000943682,0.0005154189,0.0004777735,0.04392689],"genre_scores_gemma":[0.9615551,0.01645973,0.001285216,0.00007277702,0.0003895632,0.0001951602,0.0003710886,0.00006128543,0.01961008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8888489,"threshold_uncertainty_score":0.999833,"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."}}