{"id":"W7143908787","doi":"10.34382/00011478","title":"Canadian nikkei institutions and spaces","year":2016,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002564211,0.0001420653,0.0001219746,0.00009728184,0.002589232,0.000261696,0.000197793,0.0001151486,0.0002937473],"category_scores_gemma":[0.0006333739,0.0001007423,0.00003360737,0.0002856208,0.001051372,0.001075719,0.00008998775,0.000107312,0.00007256995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009620392,"about_ca_system_score_gemma":0.003897016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.461557,"about_ca_topic_score_gemma":0.6151208,"domain_scores_codex":[0.998603,0.00005103639,0.0002137001,0.0003062333,0.0004227093,0.0004032886],"domain_scores_gemma":[0.998923,0.00009035983,0.0000576081,0.0001928424,0.0002094217,0.0005267366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001603028,0.00002614368,0.02497618,0.000007937452,0.00004324979,0.0001407793,0.00104234,0.000002557837,0.0005920397,0.845533,0.1210804,0.006539312],"study_design_scores_gemma":[0.0001770664,0.00001065549,0.00406145,0.0001123578,0.00001190304,0.00003529212,0.0008512043,7.054109e-7,0.0002617571,0.0003406398,0.9939381,0.0001988289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4338595,0.002355641,0.001799913,0.1590609,0.01201247,0.001159412,0.002362678,0.0005023027,0.3868872],"genre_scores_gemma":[0.9635636,0.0004167501,0.0006702982,0.0002834783,0.0011536,0.00003636019,0.00009444381,0.000006673227,0.03377483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8728577,"threshold_uncertainty_score":0.9987093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04844042255200005,"score_gpt":0.2969671097801113,"score_spread":0.2485266872281112,"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."}}