{"id":"W4247454168","doi":"10.1002/div.2706","title":"Harley‐Davidson, Inc.","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":"Subsidiary; Clothing; Business; Automotive industry; Finance; Commerce; Engineering; Political science","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":[0.000133698,0.0001725304,0.0002133672,0.00007936787,0.0001084984,0.00002218163,0.0001263252,0.0000504462,0.004224576],"category_scores_gemma":[0.00002257538,0.0001467117,0.0001513911,0.0001347994,0.00003995264,0.0002030391,0.0001012175,0.0002096148,0.001249188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226763,"about_ca_system_score_gemma":0.00003716554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001926975,"about_ca_topic_score_gemma":0.00005346435,"domain_scores_codex":[0.9987912,0.00002855177,0.0002447407,0.0002588702,0.0003576507,0.0003190113],"domain_scores_gemma":[0.9993077,0.00002232459,0.00005127277,0.0003310849,0.00002440824,0.0002632161],"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":[0.0004956612,0.0009631144,0.1213227,0.00009696557,0.0003983423,0.0002521423,0.0006497563,0.00008597336,0.01680669,0.001503178,0.804074,0.05335149],"study_design_scores_gemma":[0.001332041,0.0001752152,0.03540924,0.00004061076,0.0001743437,0.00005747422,0.00007762954,0.0001302212,0.003833965,0.00003074247,0.9585264,0.000212055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499583,0.001249658,0.0001367328,0.04061696,0.0005370866,0.0002885844,0.00002461425,0.0001439137,0.007044189],"genre_scores_gemma":[0.9850931,0.0001836706,0.0007980166,0.009769548,0.0006298392,0.00001752206,0.00008890414,0.00002720312,0.003392154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1544525,"threshold_uncertainty_score":0.9995285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01513262524192432,"score_gpt":0.2696642226489326,"score_spread":0.2545315974070083,"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."}}