{"id":"W4246830674","doi":"10.1002/div.6627","title":"Chittenden Corp. (Burlington, VT.)","year":2008,"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":"National bank; Business; Finance; Stock (firearms); Banking industry; Financial system; Engineering","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":[0.0001022973,0.0002069575,0.0002846793,0.00009279883,0.0002266854,0.00001075799,0.0001485456,0.00005936786,0.001898846],"category_scores_gemma":[0.00003703485,0.000176468,0.0002375213,0.0001891441,0.00008818353,0.000129419,0.0001047558,0.0002585381,0.0004038214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008178598,"about_ca_system_score_gemma":0.00006366659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004265154,"about_ca_topic_score_gemma":0.00001423056,"domain_scores_codex":[0.9985451,0.00003337725,0.0002753594,0.0003150491,0.0004683949,0.0003627354],"domain_scores_gemma":[0.9991795,0.00002861977,0.0000704436,0.0003856993,0.00003740555,0.0002982865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005816599,0.0007917506,0.6901878,0.00009714555,0.0005095256,0.001955387,0.000952171,0.00005159392,0.01583848,0.0004966159,0.2844535,0.0040845],"study_design_scores_gemma":[0.00414077,0.0007000081,0.5170316,0.0001221662,0.0004563264,0.001218282,0.0003449442,0.0001559167,0.01040433,0.00009794066,0.4646425,0.0006852673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859974,0.0008017478,0.0001071568,0.005779582,0.0007077535,0.0002541532,0.00001534192,0.0001280684,0.006208834],"genre_scores_gemma":[0.9899117,0.0004758695,0.0004110587,0.004745706,0.0003979001,0.00001605423,0.00008101764,0.00003305701,0.003927668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1801891,"threshold_uncertainty_score":0.9990135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03970101502351775,"score_gpt":0.2536342265450604,"score_spread":0.2139332115215427,"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."}}