{"id":"W4246588794","doi":"10.1002/div.1828","title":"Bemis, Inc.","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Commerce; Automotive industry; Agribusiness; Food products; Consumer market; Marketing; Engineering; Agriculture; Food 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003880431,0.001484305,0.0006672652,0.002368871,0.00115154,0.003695605,0.001008111,0.001765517,0.770041],"category_scores_gemma":[0.001220201,0.0005487823,0.0004030068,0.00160868,0.0004585801,0.002252228,0.001148466,0.001736693,0.6943946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008320842,"about_ca_system_score_gemma":0.001164477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233782,"about_ca_topic_score_gemma":0.004868189,"domain_scores_codex":[0.9994622,0.00003594561,0.00002756235,0.000136705,0.0002946336,0.00004297956],"domain_scores_gemma":[0.9993578,0.00006652371,0.00004627644,0.0001002789,0.0002652329,0.0001640808],"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":[0.0001356549,0.00009772961,0.0002490816,0.0003099095,0.000009164057,0.0001823442,0.00009968207,0.0001477981,0.00232758,0.0140747,0.6769211,0.3054453],"study_design_scores_gemma":[0.00001242372,0.00002019874,0.0002436291,0.00007109849,0.000003774635,0.0001340076,0.00003338252,0.00008356321,0.0003102086,0.001075829,0.9980085,0.000003177225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004635389,0.002137913,0.001033139,0.001070964,0.0005065804,0.00004834776,0.001654667,0.001953224,0.9911315],"genre_scores_gemma":[0.0027373,0.001396646,0.001021014,0.0003711336,0.00006685909,0.00003147048,0.001484598,0.0002846709,0.9926064],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.770041,"threshold_uncertainty_score":0.3280086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602593607741175,"score_gpt":0.2045266021380591,"score_spread":0.1885006660606473,"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."}}