{"id":"W4245876155","doi":"10.1002/div.3002","title":"Alberto‐Culver Co.","year":2005,"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; 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":[0.0002824536,0.0008551886,0.0003628503,0.001656695,0.002701005,0.003341908,0.0008747543,0.002803212,0.808225],"category_scores_gemma":[0.001229204,0.0004830778,0.0002191061,0.001496993,0.0007605318,0.001508753,0.001418646,0.00211456,0.601138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002008515,"about_ca_system_score_gemma":0.001707187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217762,"about_ca_topic_score_gemma":0.05863773,"domain_scores_codex":[0.9994734,0.00004126225,0.00002052313,0.000155756,0.0002397593,0.00006933853],"domain_scores_gemma":[0.9993982,0.0001028318,0.00004866707,0.0000771243,0.0002456542,0.0001275198],"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":[0.00004578628,0.00003451986,0.0002199297,0.0001125927,0.000002484697,0.0001429583,0.00008148878,0.00004783749,0.0003402182,0.0125526,0.8780523,0.1083673],"study_design_scores_gemma":[0.000003454147,0.000003614265,0.0001567076,0.0000469581,6.088212e-7,0.00004176994,0.00003144181,0.00002051002,0.00004263044,0.0003003658,0.9993504,0.000001550316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001867364,0.001954626,0.000115866,0.001394811,0.0002761596,0.00002600366,0.0004425604,0.0002340801,0.9953691],"genre_scores_gemma":[0.001258938,0.0007594614,0.00009530537,0.000475496,0.00003987199,0.00001547875,0.0001834083,0.00004080425,0.9971312],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.808225,"threshold_uncertainty_score":0.2735437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759635089739416,"score_gpt":0.3019207947541466,"score_spread":0.2843244438567525,"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."}}