{"id":"W2416537315","doi":"10.1353/gpq.2016.0019","title":"Cultivating Connections: The Making of Chinese Prairie Canada by Alison R. Marshall","year":2016,"lang":"en","type":"article","venue":"Great plains quarterly","topic":"Historical Studies and Socio-cultural Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Genealogy; Sociology; Ethnology; Geography","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00008579473,0.0001436737,0.000224245,0.00001665676,0.00218367,0.0000565495,0.0001533185,0.00002703753,0.0004703098],"category_scores_gemma":[0.00005434157,0.00006143041,0.000107909,0.000058324,0.0001996583,0.0001170534,0.00001348782,0.00006704284,0.000006999601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005108508,"about_ca_system_score_gemma":0.00003074838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2668693,"about_ca_topic_score_gemma":0.9225318,"domain_scores_codex":[0.9990896,0.00005706306,0.0002655349,0.0001625868,0.0002185406,0.0002066992],"domain_scores_gemma":[0.9993809,0.0001822057,0.0001448893,0.0001415102,0.0001237382,0.00002668546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003601121,0.00008077617,0.01266431,0.00004584872,0.0005799393,0.00001176227,0.3247849,0.000001538794,0.0005682677,0.03020625,0.6005372,0.03048322],"study_design_scores_gemma":[0.0003211027,0.0001563028,0.0004743292,0.00005432395,0.00005437773,0.000001814417,0.01664855,0.00001661276,0.000005331892,0.0009592075,0.9810807,0.0002273426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.888733,0.0004225858,0.0001051372,0.1052839,0.000408345,0.0001685562,0.0002496221,0.0000510007,0.00457788],"genre_scores_gemma":[0.9869633,0.000007985124,0.00001001072,0.0003439186,0.0002553075,0.00001976196,0.000008583576,0.000008495529,0.01238265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6556624,"threshold_uncertainty_score":0.9991153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473301126735666,"score_gpt":0.2120167869908089,"score_spread":0.1972837757234522,"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."}}