{"id":"W4241751522","doi":"10.1002/div.6152","title":"Talbots, Inc","year":2007,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clothing; Advertising; Business; Brand names; Commerce; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002747856,0.0004209727,0.0002011857,0.001246796,0.002617743,0.003072687,0.0009550247,0.002992621,0.5699779],"category_scores_gemma":[0.00242575,0.0002404238,0.0002554534,0.0007983944,0.0006659127,0.001282776,0.001384261,0.002332428,0.2640001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540556,"about_ca_system_score_gemma":0.002069285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01051875,"about_ca_topic_score_gemma":0.0211438,"domain_scores_codex":[0.9994561,0.00004931282,0.00002656855,0.00008857324,0.0002885682,0.00009092897],"domain_scores_gemma":[0.9991884,0.0002006545,0.00004481278,0.00005112848,0.0003452193,0.0001699302],"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":[0.000008913529,0.00001178834,0.0000764856,0.00003167129,6.024322e-7,0.0001077787,0.00005336435,0.00001446106,0.00005768824,0.007834545,0.9660043,0.02579852],"study_design_scores_gemma":[0.000003619929,0.000002890064,0.0001220071,0.00006562899,5.761257e-7,0.00006902323,0.00005146643,0.00001794491,0.00002180887,0.0005163592,0.9991274,0.000001308713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000324581,0.001727947,0.00007857648,0.008229633,0.001863256,0.00001956235,0.0002126094,0.0001522559,0.9873914],"genre_scores_gemma":[0.003672424,0.001082326,0.00005571511,0.006863174,0.0005281396,0.00002434336,0.0001682093,0.00003201638,0.9875737],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5699779,"threshold_uncertainty_score":0.6133744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154208595746097,"score_gpt":0.2871265507751537,"score_spread":0.271705691200544,"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."}}