{"id":"W4245492931","doi":"10.1002/div.3408","title":"Alberto‐Culver Co.","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":"Beauty; Business; Cash; Supply chain; Product (mathematics); Marketing; 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":[],"category_scores_codex":[0.0002855359,0.0008930486,0.0003773157,0.001678839,0.002622745,0.003301671,0.0008763215,0.002733446,0.8116584],"category_scores_gemma":[0.0012292,0.000489753,0.0002230786,0.001556979,0.0007497407,0.001523775,0.001416543,0.002079698,0.6150358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932046,"about_ca_system_score_gemma":0.001672171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02016189,"about_ca_topic_score_gemma":0.05506089,"domain_scores_codex":[0.9994654,0.00004171066,0.00002059329,0.0001603153,0.0002433366,0.00006863821],"domain_scores_gemma":[0.9993777,0.0001026599,0.0000506259,0.00008117996,0.0002540773,0.0001336001],"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":[0.00005039017,0.00003685186,0.0002349065,0.0001195874,0.000002644606,0.0001463517,0.000082117,0.00004923499,0.0003713211,0.01193264,0.8689795,0.1179945],"study_design_scores_gemma":[0.000003640826,0.000003879515,0.0001658754,0.00004692832,6.379056e-7,0.00004404289,0.00003093811,0.00002136219,0.00004548431,0.000295,0.9993406,0.000001598366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000196856,0.002017831,0.0001244028,0.001320576,0.0002737457,0.00002716215,0.0004816784,0.0002547368,0.995303],"genre_scores_gemma":[0.001277454,0.0007846752,0.0001035357,0.0004383457,0.0000391382,0.00001597326,0.0002000675,0.00004412756,0.9970968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8116584,"threshold_uncertainty_score":0.2686464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009578470194594917,"score_gpt":0.2623854870334553,"score_spread":0.2528070168388604,"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."}}