{"id":"W4406166537","doi":"10.53558/cxis2109","title":"Representing Contemporary Immigrant and BIPOC Experiences through USM�s Special Collections","year":2024,"lang":"en","type":"article","venue":"Maine policy review","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Sociology; Political science; Law","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":[0.008763731,0.0003149288,0.0005127481,0.003903952,0.007563427,0.008635556,0.001532289,0.001216295,0.01069803],"category_scores_gemma":[0.01042721,0.0002034043,0.0003386229,0.00852583,0.004581606,0.004175896,0.008952581,0.0009107318,0.0009164324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01330461,"about_ca_system_score_gemma":0.01759261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03683357,"about_ca_topic_score_gemma":0.1662798,"domain_scores_codex":[0.9959356,0.002746994,0.0001579826,0.0001371763,0.0006284998,0.0003937254],"domain_scores_gemma":[0.9938796,0.002929539,0.0005392547,0.0003521821,0.00143975,0.0008596861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001501949,0.0001687289,0.00765657,0.00750612,0.00008894746,0.0008099581,0.4179818,0.0001423702,0.000928719,0.03859007,0.09333684,0.4326397],"study_design_scores_gemma":[0.00001396525,0.0000722215,0.009615576,0.00454106,0.00004091831,0.0001689796,0.1750087,0.000018635,0.0003643853,0.0009771168,0.8091635,0.00001473782],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4528745,0.2342664,0.001553227,0.04172496,0.001675768,0.000627471,0.001026662,0.0002663331,0.2659847],"genre_scores_gemma":[0.7709081,0.1534436,0.003025369,0.009272606,0.0006725585,0.00086794,0.0009785183,0.0001101465,0.06072124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03683357,"threshold_uncertainty_score":0.09653217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08178942022088982,"score_gpt":0.3976587785062128,"score_spread":0.315869358285323,"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."}}