{"id":"W7055791305","doi":"","title":"Community-Building of 1.5-Generation Korean-Canadian Immigrants","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Ethnic group; Population; Government (linguistics)","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":[0.001277146,0.0003833411,0.0003875921,0.0008181862,0.02243832,0.003718356,0.001719342,0.0007685138,0.01399549],"category_scores_gemma":[0.001402194,0.000220151,0.0003073865,0.0009785239,0.002577359,0.001081633,0.005776619,0.001170652,0.001129791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01484916,"about_ca_system_score_gemma":0.04525712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8553797,"about_ca_topic_score_gemma":0.947068,"domain_scores_codex":[0.999132,0.0001441415,0.0000121604,0.00008411511,0.00008566182,0.0005420327],"domain_scores_gemma":[0.9975051,0.00009373999,0.00008996095,0.00005329603,0.000600326,0.001657611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006049467,0.001067497,0.1390401,0.0002369837,0.00003016521,0.002618098,0.7526241,0.0001402738,0.002420809,0.01051986,0.01724244,0.07345472],"study_design_scores_gemma":[0.00002069379,0.0001339667,0.03217458,0.00010269,0.0000191767,0.00009832269,0.9391481,0.0001049145,0.0001825111,0.0003524047,0.02763943,0.00002326577],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816958,0.0002744711,0.0001458125,0.001265647,0.0000748234,0.0002036727,0.00015875,0.00001155284,0.01616968],"genre_scores_gemma":[0.9714122,0.0004506921,0.0005070362,0.0007129436,0.00001211938,0.0001030475,0.0001691944,0.00001026708,0.02662244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1446203,"threshold_uncertainty_score":0.290944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630416912190915,"score_gpt":0.2349103703480805,"score_spread":0.2186062012261713,"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."}}