{"id":"W4246868855","doi":"10.1002/div.2718","title":"HNI Corp.","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":"Hearth; Stove; Business; Commerce; Factory (object-oriented programming); Agricultural economics; Engineering; Waste management; Economics","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":[],"category_scores_codex":[0.00009211371,0.0001311228,0.0001684567,0.00005643095,0.00008101773,0.00001364694,0.00009178104,0.00003559504,0.003833561],"category_scores_gemma":[0.00001805431,0.0001102625,0.0001507509,0.0001105487,0.00003145705,0.0001288502,0.00006593946,0.0001541732,0.00072313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000893748,"about_ca_system_score_gemma":0.00002634287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434599,"about_ca_topic_score_gemma":0.00003008797,"domain_scores_codex":[0.9990629,0.00001975483,0.0001825116,0.0002000195,0.0002848021,0.0002500164],"domain_scores_gemma":[0.9994512,0.00001820339,0.00003983425,0.0002629298,0.00001962517,0.0002082643],"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":[0.0005843727,0.001014973,0.1857535,0.00009345401,0.0004120133,0.0003058995,0.000552046,0.00012091,0.02711803,0.001732675,0.7094079,0.07290422],"study_design_scores_gemma":[0.00138532,0.0001917276,0.0506707,0.000039214,0.0001772266,0.00007231144,0.000105954,0.0001456909,0.0058495,0.00002366897,0.941139,0.0001996962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640121,0.0008591389,0.0001079632,0.0241791,0.0004407151,0.0002065122,0.00001239617,0.0001000467,0.01008201],"genre_scores_gemma":[0.986057,0.0001485802,0.0007274465,0.008428671,0.0005065385,0.00001123068,0.00004454529,0.00001925563,0.004056747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2317311,"threshold_uncertainty_score":0.997077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536503221981854,"score_gpt":0.2721262366708215,"score_spread":0.256761204451003,"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."}}