{"id":"W6887775899","doi":"10.17613/bdcqc-a6e55","title":"Pimp my ride: early Imperial cavalry, saddle plates, and long-reining","year":2020,"lang":"en","type":"article","venue":"Knowledge Commons (Lakehead University)","topic":"Historical and Architectural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University","funders":"","keywords":"Saddle; Focus (optics); Set (abstract data type); Key (lock)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004875129,0.0001835035,0.0001575838,0.0007041885,0.005545874,0.002946765,0.000474412,0.0008181865,0.007810921],"category_scores_gemma":[0.001123895,0.0001892845,0.00008342696,0.0008474927,0.01162723,0.002031146,0.002082662,0.001283599,0.0005138683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507103,"about_ca_system_score_gemma":0.0006080429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01584481,"about_ca_topic_score_gemma":0.1051304,"domain_scores_codex":[0.999731,0.0001048055,0.000005605017,0.00004795306,0.00003494237,0.00007571912],"domain_scores_gemma":[0.9998015,0.00006937597,0.00004021393,0.00002697161,0.00002032233,0.00004161675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001241075,0.0000601557,0.01269479,0.0001061,0.000008059128,0.001707091,0.7572134,0.0000961687,0.0006455658,0.1702849,0.01482918,0.04223049],"study_design_scores_gemma":[0.000008826936,0.00008634626,0.0557095,0.000382399,0.00001495154,0.00197406,0.6197915,0.00018923,0.0007033519,0.008834006,0.312276,0.00002988188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7368923,0.002313366,0.0004823993,0.002040679,0.00008729373,0.000008468431,0.00004753099,0.00001754825,0.2581102],"genre_scores_gemma":[0.9825738,0.0005090503,0.0001408369,0.00009990706,0.00002505561,0.000003593477,0.00002091503,0.0000163477,0.01661045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01584481,"threshold_uncertainty_score":0.03150517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04660978458487219,"score_gpt":0.2088670282209252,"score_spread":0.162257243636053,"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."}}