{"id":"W4385333470","doi":"10.25071/2561-5467.1118","title":"Colin Thubron, The Amur River: Between Russia and China by John S. Sledge","year":2023,"lang":"en","type":"article","venue":"The Northern Mariner / Le marin du nord","topic":"Vietnamese History and Culture Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Geography; Humanities; Archaeology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001173825,0.0002321611,0.0002715576,0.00003574687,0.003913632,0.0001109274,0.0007345652,0.000102596,0.0001086777],"category_scores_gemma":[0.0001429417,0.0001336105,0.0001103685,0.0005278925,0.001263922,0.0001282776,0.0006118857,0.0003369314,0.0002809791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007754871,"about_ca_system_score_gemma":0.00009322662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01159998,"about_ca_topic_score_gemma":0.04735043,"domain_scores_codex":[0.9981422,0.0004314371,0.0002305164,0.0003279539,0.0003966872,0.0004711991],"domain_scores_gemma":[0.999211,0.0001333513,0.0001208442,0.0003746016,0.00005568819,0.0001044764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004511176,0.00005067256,0.611295,0.0000202776,0.0001847283,0.000009688404,0.1253136,0.000008378434,0.00001114207,0.005439102,0.08894465,0.1686777],"study_design_scores_gemma":[0.0002410009,0.00002365624,0.2630345,0.000005967871,0.00004685045,9.743202e-7,0.005188683,0.00001046605,0.000001881995,0.004328042,0.7269318,0.0001861986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807512,0.0006342127,0.00001078869,0.03008584,0.0003990959,0.0005264846,0.0000299275,0.0002762183,0.1605255],"genre_scores_gemma":[0.8589849,0.0004316801,0.00000980839,0.0002621146,0.0007467505,0.00007033188,0.00002427733,0.00003003272,0.1394401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6379871,"threshold_uncertainty_score":0.9973831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275137733466379,"score_gpt":0.2433336829936642,"score_spread":0.2305823056590004,"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."}}