{"id":"W3217346575","doi":"","title":"Le Rugissement du Lion: Mapping and Memory in Montreal's Chinese/Canadian Street Theater","year":2011,"lang":"en","type":"article","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cartography; Art; Geography; Visual arts; History; Humanities","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":[0.0005689142,0.0004209683,0.0002718719,0.00253196,0.01588656,0.005508595,0.001739056,0.0007950205,0.02343069],"category_scores_gemma":[0.002116603,0.0002322595,0.0002202169,0.005950761,0.007496717,0.00204775,0.003096301,0.001090288,0.0008162996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03870336,"about_ca_system_score_gemma":0.02637005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9851024,"about_ca_topic_score_gemma":0.9954334,"domain_scores_codex":[0.9995642,0.0000880653,0.000007514525,0.00006152477,0.00006837216,0.0002102784],"domain_scores_gemma":[0.999392,0.00008224396,0.00006864836,0.00004734779,0.0002285343,0.000181197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002407907,0.00004728057,0.0395945,0.0001874178,0.0000318417,0.001183345,0.7878402,0.0006594036,0.001063831,0.04929738,0.03776836,0.08208556],"study_design_scores_gemma":[0.00000896134,0.00003500142,0.1163708,0.0002097935,0.00003078827,0.0001877931,0.6566373,0.0003240035,0.0004634478,0.001695956,0.2239618,0.00007429598],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7617082,0.002106819,0.0007114469,0.004972005,0.0001366001,0.00005772304,0.0009510134,0.00005655651,0.2292997],"genre_scores_gemma":[0.9642735,0.0004926905,0.0002245422,0.0001213097,0.00001463402,0.00001192564,0.0001256276,0.00002583345,0.03470995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03870336,"threshold_uncertainty_score":0.2808139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214445732022884,"score_gpt":0.1906191758124057,"score_spread":0.1784747184921769,"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."}}