{"id":"W4241248188","doi":"10.1002/div.5097","title":"Bemis Co Inc","year":2006,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Material Properties and Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Modified atmosphere; Commerce; Food packaging; Food products; Materials science; Engineering; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007908225,0.0001286229,0.0001133892,0.00003844122,0.00009126619,0.00005855226,0.0001219747,0.00004806156,0.001165728],"category_scores_gemma":[0.000003978445,0.0001160245,0.00003892941,0.00007091055,0.00002072673,0.0001405622,0.00002371272,0.00007451675,0.0002340949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003224647,"about_ca_system_score_gemma":0.000005769757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002184015,"about_ca_topic_score_gemma":0.00001642213,"domain_scores_codex":[0.9993247,0.00001133303,0.0001744091,0.0001170594,0.0001355562,0.0002369823],"domain_scores_gemma":[0.9997969,0.000007120119,0.00001832443,0.0001196323,0.000008501138,0.00004954134],"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":[0.00008864354,0.0001303808,0.02124373,0.00119928,0.0002217127,0.00005355208,0.0007087262,0.08898126,0.3791286,0.002207656,0.4739216,0.03211481],"study_design_scores_gemma":[0.0004688997,0.0000322338,0.005837569,0.00006272295,0.00003910139,0.000005708879,0.00006590699,0.006095038,0.1123536,0.0009658571,0.873432,0.0006413347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569188,0.001295254,0.001038014,0.0002111192,0.001286768,0.0001028638,0.00002513943,0.0004959371,0.03862606],"genre_scores_gemma":[0.9985539,0.00007334711,0.0001674915,0.00005309602,0.0002683994,0.000007531246,0.00003361663,0.00002927647,0.0008133848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3995104,"threshold_uncertainty_score":0.9997473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006605487037333253,"score_gpt":0.186485488948949,"score_spread":0.1798800019116158,"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."}}