{"id":"W2998159397","doi":"10.22378/he.2019-4-2.206-218","title":"Cultural codes of the Old Tatar Quarter","year":2019,"lang":"en","type":"article","venue":"Historical Ethnology","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tatar; Quarter (Canadian coin); History; Linguistics; Philosophy; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002134614,0.0000668613,0.0001774562,0.00003062579,0.0001512512,0.000005338833,0.0003964683,0.0001768579,0.0004786928],"category_scores_gemma":[0.0001118111,0.00004690691,0.00008947717,0.0001534221,0.0004162928,0.00007366837,0.00005217758,0.0001634332,0.0002526244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008741279,"about_ca_system_score_gemma":0.000113194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002874312,"about_ca_topic_score_gemma":0.0006280522,"domain_scores_codex":[0.9991356,0.0001386852,0.0001800716,0.000163311,0.0001704666,0.0002118766],"domain_scores_gemma":[0.9994894,0.000144888,0.0001043459,0.0001704462,0.00004912794,0.00004183441],"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":[0.00002710913,0.0001064364,0.1357441,0.0000148015,0.00006908199,0.000002217191,0.05144843,0.00001021071,0.0007746599,0.5089127,0.2979363,0.004953942],"study_design_scores_gemma":[0.000179802,0.00002315933,0.01964774,0.000004258255,0.000005709174,7.264276e-7,0.002311499,0.000003587437,0.00003157559,0.002786439,0.9749187,0.00008682327],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8508458,0.0002995404,0.0000122952,0.04126058,0.003319653,0.0001492772,0.000002248676,0.00006038236,0.1040503],"genre_scores_gemma":[0.9363027,0.00003649023,0.0001556972,0.0003669169,0.00008157535,0.000006635463,0.00000129915,0.000004547192,0.06304417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6769823,"threshold_uncertainty_score":0.5241351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463055277232086,"score_gpt":0.2786902219508886,"score_spread":0.2540596691785677,"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."}}