{"id":"W7005350102","doi":"","title":"Racial Profiling amidst Geopolitical Tension: Chinese Faculty in Canada","year":2024,"lang":"en","type":"article","venue":"International Higher Education (Boston College)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Geopolitics; Profiling (computer programming); China; Work (physics); Racial profiling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002379065,0.0001621797,0.0003903783,0.002005357,0.02448262,0.004334643,0.001248856,0.0009065653,0.005070854],"category_scores_gemma":[0.006733811,0.0002436699,0.000250768,0.007209173,0.005594112,0.001464374,0.004121971,0.001788945,0.0002260127],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0503209,"about_ca_system_score_gemma":0.1421912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9817595,"about_ca_topic_score_gemma":0.9924378,"domain_scores_codex":[0.9957028,0.0004932685,0.0001217746,0.0003211195,0.0009262149,0.002434819],"domain_scores_gemma":[0.9920306,0.0006066587,0.0009524278,0.0001695065,0.001721728,0.004518959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000194261,0.0001279204,0.5795849,0.0001114006,0.00004964524,0.0010353,0.3539579,0.0001459115,0.0008908384,0.01030535,0.01500723,0.03858937],"study_design_scores_gemma":[0.00001266501,0.00003777303,0.3669115,0.0001591339,0.00003244382,0.000130393,0.6008546,0.0002025974,0.0002404014,0.001172851,0.03018606,0.00005955251],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757118,0.000550156,0.0001144528,0.01058773,0.0000874971,0.00003073722,0.0002052171,0.000006510432,0.01270599],"genre_scores_gemma":[0.9958212,0.0004241583,0.00007006891,0.00163988,0.00001683165,0.00001060568,0.00005474245,0.000005652993,0.001956834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9755174,"threshold_uncertainty_score":0.3651054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03364740639474609,"score_gpt":0.3643322086645838,"score_spread":0.3306848022698377,"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."}}