{"id":"W4240814480","doi":"10.1080/08989575.2009.10846788","title":"Celebrity Bio Blogs: Hagiography, Pathography, and Perez Hilton","year":2009,"lang":"en","type":"article","venue":"a/b Auto/Biography Studies","topic":"Music History and Culture","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002490077,0.0004733884,0.0005659803,0.0006275182,0.001694361,0.0001947389,0.0002382262,0.0001191035,0.0003987712],"category_scores_gemma":[0.00002125609,0.0003740551,0.0006367187,0.000435901,0.001532792,0.000318074,0.00006328951,0.0003064848,0.00002202698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001247386,"about_ca_system_score_gemma":0.00001162274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105785,"about_ca_topic_score_gemma":0.0009206834,"domain_scores_codex":[0.9980453,0.00009826011,0.0003948688,0.000634018,0.0002963382,0.0005312391],"domain_scores_gemma":[0.9990059,0.00006477968,0.0001530113,0.000392951,0.0002374652,0.0001459173],"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":[0.00007505971,0.0006895586,0.01031287,0.0002004769,0.001547858,0.00008634158,0.150716,3.76511e-7,0.0006135933,0.2722183,0.5305256,0.03301404],"study_design_scores_gemma":[0.0006170543,0.0005361524,0.02731535,0.0001121331,0.0003307516,0.00001264294,0.0180525,0.000002442413,0.00007133749,0.0187452,0.9334399,0.0007645044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7013364,0.1423343,0.00001013486,0.002915931,0.002672701,0.0009340679,0.0002807027,0.001314917,0.1482008],"genre_scores_gemma":[0.9927194,0.002863435,0.0001321889,0.002232899,0.0006141045,0.00004095967,0.00002482592,0.00002205829,0.001350154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4029144,"threshold_uncertainty_score":0.9998711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359731636400935,"score_gpt":0.2384640168560518,"score_spread":0.2048667004920425,"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."}}