{"id":"W2886820765","doi":"10.1177/2514848618792233","title":"Grasses tame and wild: Imperial entanglements in settler colonial cereal breeding and botany","year":2018,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Royal Botanical Gardens, Kew","keywords":"Domestication; Indigenous; Colonialism; Politics; Ornamental plant; State (computer science); Service (business); Ethnology; Geography; Ecology; Biology; Political science; Sociology; Economy; Archaeology; Law; Economics","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001981782,0.00007636914,0.0001030574,0.0001059894,0.0005886585,0.0001857674,0.000033077,0.0001636631,0.00009804378],"category_scores_gemma":[0.0000221239,0.00008705471,0.000008377567,0.0000422006,0.0005254789,0.0001376846,0.00004001753,0.0001791678,0.000002186986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007565399,"about_ca_system_score_gemma":0.00002453911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01743131,"about_ca_topic_score_gemma":0.1003623,"domain_scores_codex":[0.9993904,0.00003486194,0.00006719534,0.0001943019,0.0001311877,0.000182055],"domain_scores_gemma":[0.999769,0.00004287291,0.00003165806,0.00003641659,0.000003076495,0.0001169167],"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":[0.0001483786,0.00003309785,0.8874637,0.00002376835,0.00003589088,0.00006371467,0.06857909,5.162956e-7,0.001761502,0.003248629,0.03343587,0.005205866],"study_design_scores_gemma":[0.0005393762,0.0001055031,0.330307,0.00003350616,0.00001808794,0.000004805721,0.001656107,0.000008483245,0.00001065419,0.0003108997,0.6668494,0.0001560782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929388,0.003394163,0.000001633168,0.00127692,0.0002369485,0.00009090408,0.00001732719,0.00000610793,0.002037187],"genre_scores_gemma":[0.995762,0.001889327,0.0000790277,0.000189789,0.0004593255,0.000002240124,0.000003112744,0.00000493077,0.001610252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6334136,"threshold_uncertainty_score":0.9891117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00638093430300426,"score_gpt":0.2355139224261628,"score_spread":0.2291329881231585,"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."}}