{"id":"W4243462517","doi":"10.1002/div.5925","title":"Chittenden Corp. (Burlington, VT.)","year":2007,"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":"Business; National bank; Stock (firearms); Finance; Banking industry; Financial system; Geography; Archaeology","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":[0.0003817955,0.0002040545,0.0002561415,0.0001234144,0.0001350002,0.00001927695,0.0001476276,0.00006887475,0.001583292],"category_scores_gemma":[0.00004510076,0.0001748816,0.0002196759,0.0002202956,0.00005645497,0.0001148622,0.0001032127,0.000277543,0.0002897955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087282,"about_ca_system_score_gemma":0.00003737882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003948277,"about_ca_topic_score_gemma":0.0000619639,"domain_scores_codex":[0.99839,0.00002143674,0.0003321108,0.0003086025,0.0004788031,0.0004690933],"domain_scores_gemma":[0.9991081,0.00004968432,0.00007955816,0.0003669221,0.00003945559,0.0003563214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001529589,0.001088169,0.756256,0.0001813472,0.0007422878,0.001793256,0.0008996791,0.00003237019,0.05210926,0.002106927,0.1467271,0.03653404],"study_design_scores_gemma":[0.003343824,0.0005952276,0.4940287,0.0001344136,0.0005077672,0.0002558572,0.000736889,0.00005896403,0.02272308,0.0001663969,0.4768589,0.0005900455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810574,0.0007196011,0.0007524083,0.004787402,0.001021656,0.0002889023,0.00001145961,0.000130922,0.01123023],"genre_scores_gemma":[0.9909075,0.000105786,0.0006010958,0.005318783,0.0005164353,0.000005947368,0.00007170294,0.00003313307,0.002439652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3301318,"threshold_uncertainty_score":0.9993294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424327428949027,"score_gpt":0.2905407554223861,"score_spread":0.2762974811328958,"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."}}