{"id":"W2888890096","doi":"10.30792/978-5-7925-0521-6-2018-76-78","title":"«CUSTOMERS… WERE QUITE A LOT AND THE TRADE WAS LIVELY» (Transbaikal fair trade in the last quarter of 19th – beginning of 20th centuries: specific and dynamic)","year":2018,"lang":"en","type":"article","venue":"Republic of Buryatia – 95","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003736843,0.0001663288,0.00009612487,0.0008074439,0.004437381,0.002973316,0.0002698594,0.0007335064,0.01206412],"category_scores_gemma":[0.0005029356,0.0001562283,0.00008815947,0.002719257,0.002123377,0.001345412,0.001467334,0.0014806,0.001044697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004546133,"about_ca_system_score_gemma":0.002757597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09687195,"about_ca_topic_score_gemma":0.2884429,"domain_scores_codex":[0.9997078,0.00003847187,0.0000128885,0.00003419169,0.00005457739,0.000152097],"domain_scores_gemma":[0.9998081,0.00003942239,0.00005675715,0.000009613367,0.00003971488,0.00004643353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003594542,0.00009885729,0.1073657,0.0007121799,0.0000391591,0.003781769,0.4167949,0.0002216045,0.01100428,0.2365895,0.1063261,0.1167063],"study_design_scores_gemma":[0.000008606997,0.00003310456,0.2774427,0.0002377802,0.00001048603,0.001034576,0.1417306,0.00009937511,0.001210992,0.002438841,0.5757154,0.00003756375],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7862141,0.004306376,0.0004561796,0.01091174,0.0005250159,0.00003779984,0.001227701,0.000050964,0.1962701],"genre_scores_gemma":[0.8804067,0.001415168,0.0003728587,0.001234283,0.00004982658,0.00002568176,0.0002756201,0.00003285584,0.116187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09687195,"threshold_uncertainty_score":0.1926162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563814742930595,"score_gpt":0.2590154081605247,"score_spread":0.2433772607312187,"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."}}