{"id":"W2902154892","doi":"","title":"Chapter 2. Creating a Merit System: 1918-1944","year":2017,"lang":"en","type":"book-chapter","venue":"OpenEdition (OpenEdition)","topic":"Vietnamese History and Culture Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Figure of merit; Computer science; Computer vision","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":[0.0005902661,0.0003097677,0.0001661934,0.0009862971,0.004774909,0.002905809,0.0003789806,0.001293832,0.02447755],"category_scores_gemma":[0.0006824512,0.0001535715,0.0001144321,0.001161029,0.005256106,0.002054268,0.001092759,0.002106513,0.00396307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01199933,"about_ca_system_score_gemma":0.003955738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02464592,"about_ca_topic_score_gemma":0.06504016,"domain_scores_codex":[0.9996172,0.0001211955,0.000009913229,0.00005050521,0.0001281661,0.00007294366],"domain_scores_gemma":[0.9998629,0.00004594666,0.00001326051,0.000009867217,0.00004010674,0.00002798829],"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":[0.00001413186,0.00002112212,0.0002698304,0.00009422709,0.00000122045,0.0001179857,0.01344935,0.00008508732,0.0001103615,0.8519126,0.1065275,0.02739656],"study_design_scores_gemma":[0.000002668253,0.000009616799,0.0005950648,0.0001462435,8.443793e-7,0.00006778945,0.001164971,0.00002070605,0.00009746695,0.01918683,0.9787047,0.000003059407],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005912169,0.01559422,0.0004812259,0.006427939,0.001035864,0.00003685226,0.0001126989,0.00001818913,0.9703808],"genre_scores_gemma":[0.1001861,0.006842643,0.0005645751,0.00141253,0.0005509573,0.00005659797,0.00009989474,0.00005795856,0.8902287],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02464592,"threshold_uncertainty_score":0.08706158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217979824908675,"score_gpt":0.2724759398525265,"score_spread":0.2402961416034398,"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."}}