{"id":"W7075604887","doi":"","title":"Chinese Canadian Stories Project","year":2012,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Webcast; Reinterpretation; Government (linguistics); Web site; Oral history","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":[0.001591306,0.0007546648,0.0003490121,0.003402699,0.01394852,0.007689551,0.001393711,0.001220112,0.2110718],"category_scores_gemma":[0.003831881,0.0002838823,0.0003758334,0.005479475,0.001735156,0.00250846,0.004497821,0.001712147,0.03444008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02103392,"about_ca_system_score_gemma":0.06070231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8449124,"about_ca_topic_score_gemma":0.9290383,"domain_scores_codex":[0.9981729,0.0001975894,0.00002890236,0.0001727776,0.0009148708,0.000512855],"domain_scores_gemma":[0.9959524,0.0002168789,0.00006547755,0.0002629047,0.001525191,0.001977231],"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":[0.00001661336,0.00001607977,0.0003884798,0.00003876643,0.000001903724,0.00006667481,0.001859493,0.00001444796,0.0000586998,0.0124355,0.9492648,0.03583863],"study_design_scores_gemma":[0.000002041631,0.000001278775,0.00108146,0.00002180899,0.000001152824,0.00001720926,0.001662318,0.00001032899,0.00003644713,0.0003222452,0.9968404,0.0000032622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00443904,0.001521361,0.0004692984,0.01367264,0.0009437539,0.0002363844,0.01954705,0.0004114443,0.9587591],"genre_scores_gemma":[0.0194804,0.001644989,0.001089838,0.001981932,0.0001077191,0.0002748481,0.01395083,0.0003230911,0.9611464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2110718,"threshold_uncertainty_score":0.7061056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734929096331622,"score_gpt":0.1708818815468117,"score_spread":0.1535325905834954,"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."}}