{"id":"W4231437593","doi":"10.1002/div.1039","title":"Alberto‐Culver Co.","year":2004,"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":"Beauty; Business; Cash; Marketing; Advertising; Art; Aesthetics; Finance","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":[0.00008294649,0.0001605495,0.0001984053,0.000064209,0.0001024621,0.00001679663,0.0001018884,0.00004631413,0.002235657],"category_scores_gemma":[0.00002314094,0.0001332214,0.0001935453,0.0001298747,0.00004654543,0.0001305398,0.00005485445,0.0001835134,0.0006995664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441748,"about_ca_system_score_gemma":0.0000559375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007853893,"about_ca_topic_score_gemma":0.00003905992,"domain_scores_codex":[0.9989191,0.00001673968,0.0001908722,0.0002415989,0.0003415947,0.0002901257],"domain_scores_gemma":[0.999383,0.0000164583,0.00004072365,0.0002996949,0.0000205934,0.0002395502],"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":[0.001695246,0.003745746,0.3380105,0.0004418365,0.001952722,0.003045649,0.003737742,0.0007732286,0.07923327,0.01233306,0.5390133,0.01601768],"study_design_scores_gemma":[0.008971474,0.0008724934,0.1406396,0.0002253529,0.000589574,0.0003272213,0.0006240415,0.00002031684,0.0402552,0.0006141242,0.8061159,0.0007446958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723761,0.0003517398,0.0001557157,0.01428008,0.0005006431,0.0002444342,0.00001352686,0.00008045002,0.01199729],"genre_scores_gemma":[0.9904979,0.0001153927,0.0003459204,0.006770194,0.0002176664,0.00001398625,0.00007796323,0.00002398512,0.00193701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2671027,"threshold_uncertainty_score":0.9986764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796700232944994,"score_gpt":0.2935171007507309,"score_spread":0.275550098421281,"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."}}