{"id":"W7038956570","doi":"","title":"Interview with Jamie Shih About Her Ethnic Background (FA 601)","year":2013,"lang":"en","type":"article","venue":"TopSCHOLAR (Western Kentucky University)","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Ethnic group; Oral history; Immigration; Transcription (linguistics); Ethnic history; Ethnography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002052808,0.0002099997,0.0002175807,0.00004923427,0.0002440859,0.0002611227,0.0005940556,0.0001133199,0.002951822],"category_scores_gemma":[0.000009531387,0.00009193188,0.0001178478,0.0005881453,0.0001082893,0.001213872,0.0002621998,0.0003892308,0.001119119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008750729,"about_ca_system_score_gemma":0.00001918952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003928801,"about_ca_topic_score_gemma":0.002538249,"domain_scores_codex":[0.9984108,0.0002292999,0.000147874,0.0004319242,0.0002833758,0.0004966917],"domain_scores_gemma":[0.9991943,0.00008272201,0.00008542316,0.0001593263,0.0001502065,0.0003279709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002228009,0.0005284842,0.3888888,0.00009569017,0.000269513,0.000477418,0.0001999197,0.000003316941,0.01101574,0.0007708336,0.001517385,0.59601],"study_design_scores_gemma":[0.0004374055,0.0004320797,0.4920957,0.0000941466,0.0000234045,0.0000156273,0.0006418043,0.000003663293,0.0002048467,0.00003153448,0.505726,0.0002937096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795596,0.0003113345,0.00003065424,0.001424141,0.00005526173,0.00040248,0.00001219367,0.00009443615,0.01810991],"genre_scores_gemma":[0.9692701,0.0002612739,0.0001464761,0.000566243,0.0001401225,0.000005017243,0.00004060329,0.000002751647,0.02956744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5957164,"threshold_uncertainty_score":0.9996586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05836212166797698,"score_gpt":0.2260035717740421,"score_spread":0.1676414501060651,"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."}}