{"id":"W4247305367","doi":"10.1002/div.3667","title":"Talbots, Inc.","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Casual; Advertising; Business; Political science; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001604676,0.0001962724,0.0001657403,0.0001129124,0.0001957962,0.000184653,0.0002705029,0.00005430412,0.001760362],"category_scores_gemma":[0.00001804437,0.0001827951,0.0001026925,0.0003854946,0.00004745969,0.001081838,0.000174169,0.0001095674,0.002542954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000324955,"about_ca_system_score_gemma":0.00001259169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007264821,"about_ca_topic_score_gemma":0.001266225,"domain_scores_codex":[0.9987594,0.000005529607,0.0002522561,0.0002903569,0.0003483989,0.0003440291],"domain_scores_gemma":[0.9994757,0.00001158481,0.0002081868,0.0002475634,0.00004425566,0.00001274178],"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":[0.00004582012,0.0002082498,0.1844248,0.00008195135,0.00003943934,0.00005813054,0.00001046948,0.0004105534,0.002304009,0.2375554,0.5701057,0.004755447],"study_design_scores_gemma":[0.0003738082,0.000004419206,0.1492948,0.00001834137,0.00004308028,8.753221e-7,0.00002728081,0.0002412839,0.0001468193,0.005273874,0.8442903,0.0002851274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329243,0.0002951303,0.0002514057,0.002411425,0.001427877,0.0002062808,0.000009676096,0.0002578121,0.06221611],"genre_scores_gemma":[0.9925846,0.00001852373,0.00004550364,0.001716531,0.001921929,0.00001365681,0.0001063674,0.00002979493,0.003563072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2741846,"threshold_uncertainty_score":0.9993459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018274186455838,"score_gpt":0.1809174775645333,"score_spread":0.1707347356999749,"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."}}