{"id":"W4212996832","doi":"10.1002/div.5328","title":"Talbots, Inc.","year":2006,"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; Business; Advertising; The Internet; Commerce; Business administration; Geography; World Wide Web; Computer science; Archaeology","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":[],"category_scores_codex":[0.00008023687,0.0001356876,0.0001686244,0.00006305692,0.00008909345,0.0000167235,0.00008131827,0.00003853445,0.001819417],"category_scores_gemma":[0.000008525118,0.0001144716,0.0001230218,0.0001260526,0.0000352512,0.00009965315,0.00006931776,0.0001347828,0.0003289694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000685676,"about_ca_system_score_gemma":0.00002313249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002397156,"about_ca_topic_score_gemma":0.00008844956,"domain_scores_codex":[0.9990451,0.00002061253,0.0001956113,0.0002024892,0.0002865206,0.0002496156],"domain_scores_gemma":[0.9995652,0.00001716186,0.00004185126,0.0002415907,0.0000162112,0.0001179558],"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":[0.0002993431,0.0008088259,0.2886671,0.00009236076,0.0001810486,0.0005238956,0.00007933699,0.00007095562,0.02079337,0.007163987,0.675329,0.005990739],"study_design_scores_gemma":[0.001813489,0.0002264199,0.3512287,0.00004950698,0.0002325772,0.00008845926,0.00007772992,0.00008371863,0.004954342,0.0003325111,0.6406138,0.0002987676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814442,0.0008018787,0.0001175778,0.007551173,0.0004864034,0.0001979954,0.00002000871,0.00009768808,0.009283049],"genre_scores_gemma":[0.9940723,0.00005052931,0.000271733,0.002262805,0.0003860496,0.00001193812,0.0001696577,0.00001995888,0.002754986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0625616,"threshold_uncertainty_score":0.9990931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008138945203883677,"score_gpt":0.2325781720629071,"score_spread":0.2244392268590234,"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."}}