{"id":"W4252173967","doi":"10.1002/div.6502","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; Art; 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":[0.0002428924,0.000380027,0.0001790503,0.001101818,0.002563737,0.002419342,0.0008471286,0.002713023,0.4766105],"category_scores_gemma":[0.001910652,0.0002197913,0.0002028247,0.0006325934,0.000594374,0.001074383,0.0009930605,0.00218918,0.1635055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483386,"about_ca_system_score_gemma":0.001448159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199448,"about_ca_topic_score_gemma":0.02703951,"domain_scores_codex":[0.9995473,0.00004736901,0.00002246129,0.00007548073,0.0002375325,0.00006987793],"domain_scores_gemma":[0.999393,0.0001820964,0.00003128748,0.00003389029,0.0002616566,0.00009809998],"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":[0.00001491502,0.0000128702,0.00008745111,0.0000466883,8.41236e-7,0.0001585182,0.00009242688,0.00002076769,0.0001192887,0.01208495,0.9569683,0.03039293],"study_design_scores_gemma":[0.000004335169,0.000003885865,0.0001569937,0.00006952749,7.36009e-7,0.00006525495,0.00006610902,0.00002570033,0.00003188639,0.0005910864,0.9989832,0.000001388045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0004079273,0.002183696,0.00008956018,0.009620368,0.001468094,0.00001986435,0.0001956044,0.0001504939,0.9858644],"genre_scores_gemma":[0.004414385,0.0009342249,0.00006149462,0.006473789,0.0003275498,0.00002303011,0.000133594,0.00002191101,0.9876101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4766105,"threshold_uncertainty_score":0.7465516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550500017728769,"score_gpt":0.2871962946488248,"score_spread":0.2716912944715371,"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."}}