{"id":"W2467435558","doi":"10.14288/1.0041757","title":"[Ren wu zhuan fang] Yuan Jia-yu: Jia Hua wen xian shi bi wen shi zhen bao","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fang; Art; Humanities; Philosophy","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":[0.000654941,0.0006298969,0.0003241437,0.0006625184,0.004630847,0.001414194,0.0007472411,0.001085351,0.02460034],"category_scores_gemma":[0.001543815,0.0004447291,0.0002199676,0.001356791,0.00104344,0.002225641,0.0009433554,0.002167315,0.007441949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002910221,"about_ca_system_score_gemma":0.00226036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.172947,"about_ca_topic_score_gemma":0.3112529,"domain_scores_codex":[0.9996719,0.00009515937,0.00001789657,0.00007114904,0.00007641153,0.00006749683],"domain_scores_gemma":[0.9998168,0.00003625674,0.00001653261,0.00001602476,0.00008575487,0.00002861822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003684389,0.00001280851,0.001816655,0.000187232,0.00001599935,0.0004891297,0.0340129,0.000125718,0.0009988685,0.05275367,0.8543944,0.0551558],"study_design_scores_gemma":[0.000002247797,0.000004431397,0.002161973,0.00002663376,0.000003287267,0.00007837996,0.003352842,0.00005215408,0.0001686532,0.0006745321,0.9934603,0.0000146023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03304309,0.03934502,0.0136915,0.1532964,0.01521932,0.0005008528,0.003073762,0.001034131,0.7407959],"genre_scores_gemma":[0.1031516,0.008733219,0.003001947,0.01991754,0.000829275,0.0002662891,0.0006566471,0.0003344858,0.863109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.172947,"threshold_uncertainty_score":0.3438807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009554970385866546,"score_gpt":0.1855858385150469,"score_spread":0.1760308681291803,"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."}}