{"id":"W4248706360","doi":"10.1002/div.1795","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; Marketing; Studio; Advertising; Art; Aesthetics; Visual arts; 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":["insufficient_payload"],"category_scores_codex":[0.00009994818,0.00015897,0.0001968497,0.00006469968,0.00009528996,0.00001688003,0.0001044312,0.00004537424,0.006736616],"category_scores_gemma":[0.00002095177,0.0001321767,0.000188963,0.0001070756,0.00003863454,0.0001656876,0.00005654257,0.0001828241,0.001193117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106918,"about_ca_system_score_gemma":0.00003038052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002263011,"about_ca_topic_score_gemma":0.00004346131,"domain_scores_codex":[0.9989002,0.00002500336,0.0002068044,0.0002366664,0.0003364932,0.0002947942],"domain_scores_gemma":[0.9993686,0.00002638431,0.00004231208,0.0003032736,0.00002033749,0.0002390976],"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":[0.0003572111,0.0007292707,0.1157457,0.0000664306,0.0003967745,0.0001873106,0.0006648058,0.00006611146,0.01260673,0.0007750657,0.8409792,0.02742534],"study_design_scores_gemma":[0.001384168,0.0001447304,0.03402773,0.00003337871,0.0001587818,0.00006285891,0.0001154931,0.00009976328,0.007564771,0.00001329915,0.9561923,0.0002027579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949744,0.000573247,0.00006460727,0.02443222,0.0003646158,0.0002389396,0.00001465218,0.00008642827,0.02448134],"genre_scores_gemma":[0.9807905,0.0001418189,0.0004583896,0.01025495,0.0005165945,0.00001392246,0.00007328944,0.00002399537,0.007726577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115213,"threshold_uncertainty_score":0.9995846,"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."}}