{"id":"W4230527319","doi":"10.1353/bkb.2016.0015","title":"Postcards","year":2016,"lang":"en","type":"article","venue":"Bookbird/Book bird","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charisma; Visual arts; Narrative; Art history; Front (military); Art; White (mutation); History; Cartography; Geography; Literature; Political science","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":[0.00271139,0.001416467,0.00126854,0.004113993,0.00262077,0.008055908,0.002012481,0.00205215,0.8341206],"category_scores_gemma":[0.03105345,0.0006703284,0.0004486829,0.004506063,0.0007635818,0.005017539,0.003152836,0.002333134,0.7869268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722913,"about_ca_system_score_gemma":0.003398582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535107,"about_ca_topic_score_gemma":0.003485757,"domain_scores_codex":[0.996601,0.0005626109,0.0003551777,0.0003679946,0.001636612,0.000476537],"domain_scores_gemma":[0.9807668,0.003154469,0.0008416824,0.001426689,0.01138694,0.002423473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001557176,0.000004776534,0.00001767851,0.00003332026,2.792923e-7,0.000008391533,0.00001179889,0.000005828326,0.00002480574,0.000532377,0.9891761,0.01016899],"study_design_scores_gemma":[0.00001565791,0.00001448266,0.0002443152,0.00007124322,6.457481e-7,0.00001673903,0.00007823178,0.00002546124,0.00005298877,0.0004720298,0.9990019,0.000006193553],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0009205983,0.001178337,0.001434836,0.01688516,0.0615373,0.00112594,0.0280052,0.004157469,0.8847553],"genre_scores_gemma":[0.002316952,0.0007236159,0.0006922177,0.004039843,0.005528287,0.0005656245,0.01048435,0.00129435,0.9743547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8341206,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260533207402749,"score_gpt":0.2068604481740182,"score_spread":0.1942551160999907,"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."}}