{"id":"W4242347927","doi":"10.1002/div.5064","title":"Alberto‐Culver Co (New)","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beauty; Business; Cash; Supply chain; Marketing; Product (mathematics); Advertising; Art; Aesthetics; Finance; Mathematics","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":["insufficient_payload"],"category_scores_codex":[0.0002968317,0.001539483,0.0005778234,0.001886996,0.002221975,0.004203673,0.001055497,0.002051948,0.8328498],"category_scores_gemma":[0.0009817193,0.0007073581,0.0003974462,0.002066504,0.0006189446,0.00253,0.001752792,0.001823426,0.7265663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001234991,"about_ca_system_score_gemma":0.001532228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011456,"about_ca_topic_score_gemma":0.03444945,"domain_scores_codex":[0.9993891,0.00002632335,0.00002075144,0.0002192971,0.0002795367,0.00006502992],"domain_scores_gemma":[0.9992417,0.00007173127,0.0000649043,0.0001072193,0.0003316886,0.0001826954],"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":[0.00008610589,0.00008868986,0.0005712606,0.0002144992,0.000007322421,0.0001996754,0.00008805181,0.0001209045,0.001529152,0.006586636,0.6396822,0.3508254],"study_design_scores_gemma":[0.00000505447,0.00001142814,0.0003953734,0.00006601075,0.000001985996,0.000106679,0.00003951872,0.00004494041,0.0001915466,0.0002651632,0.9988683,0.00000396739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005115023,0.003113729,0.0006145466,0.000692684,0.0004580794,0.00005904198,0.001205743,0.0007945846,0.9925501],"genre_scores_gemma":[0.001094581,0.001069193,0.0003368817,0.0001701108,0.00003244572,0.0000191659,0.0005023435,0.00009297339,0.9966823],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1671502,"threshold_uncertainty_score":0.2384195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003588847127480125,"score_gpt":0.1845964847996392,"score_spread":0.181007637672159,"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."}}