{"id":"W2349202129","doi":"","title":"We Are All The Patients——An Analysis of Li Xiaohua's The Patients","year":2015,"lang":"en","type":"article","venue":"Journal of Leshan Normal University","topic":"Jungian Analytical Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Sight; Poetry; Mental state; State (computer science); History; Literature; Psychology; Art; Sociology; Psychiatry; China; 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":[0.0002336936,0.0002483444,0.000280685,0.001122903,0.003626875,0.001282271,0.0003210911,0.0006462566,0.003275598],"category_scores_gemma":[0.0009890302,0.0001610367,0.0002229278,0.001567818,0.001067762,0.0006627356,0.001051039,0.001064177,0.000344487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544304,"about_ca_system_score_gemma":0.001765335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005982646,"about_ca_topic_score_gemma":0.008126292,"domain_scores_codex":[0.9997692,0.0000451569,0.00002297108,0.00002513863,0.00004990021,0.00008758069],"domain_scores_gemma":[0.9996079,0.00008241265,0.00008495049,0.0000142944,0.00005713884,0.0001533048],"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":[0.0005041051,0.001010608,0.3792493,0.0003647286,0.00005060672,0.2132383,0.3158008,0.000159539,0.005325757,0.0129823,0.01340737,0.0579065],"study_design_scores_gemma":[0.00005413645,0.0005308928,0.2972808,0.0004158115,0.00007856386,0.2180382,0.4298078,0.0003320164,0.001203888,0.002310507,0.04983452,0.0001128816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900512,0.0004088803,0.0001142162,0.00105648,0.00002320807,0.00004336223,0.00009843092,0.000005529275,0.008198568],"genre_scores_gemma":[0.9964004,0.0005397047,0.0001610773,0.0003574101,0.00002339929,0.00003167826,0.0001002509,0.000007306241,0.002378861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005982646,"threshold_uncertainty_score":0.01189566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04238144651653551,"score_gpt":0.2910418983805961,"score_spread":0.2486604518640606,"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."}}