{"id":"W4246108644","doi":"10.1002/div.4546","title":"Bank of Montreal","year":2006,"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":false,"ca_institutions":"","funders":"","keywords":"Subsidiary; Business; Investment (military); Financial services; Investment banking; Finance; Commerce; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0001299297,0.0001419203,0.0001775158,0.00009785776,0.00007782889,0.00004993615,0.0002087533,0.00004047613,0.0008575974],"category_scores_gemma":[0.00001718896,0.0001299006,0.0001215439,0.0003170286,0.00004665946,0.0006265611,0.0001038503,0.00006456598,0.0002961676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001633332,"about_ca_system_score_gemma":0.00001088588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01592349,"about_ca_topic_score_gemma":0.002262647,"domain_scores_codex":[0.9990042,0.000004584748,0.0002658345,0.0001994641,0.0002970748,0.0002287748],"domain_scores_gemma":[0.9994484,0.00001225593,0.0002664945,0.0002044274,0.00006010347,0.000008291932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001255629,0.0004081603,0.5473528,0.0002131516,0.00008018123,0.00004200877,0.00002983928,0.00109218,0.008952218,0.09451061,0.3363646,0.01082865],"study_design_scores_gemma":[0.0007572707,0.00001141628,0.6310781,0.00004353057,0.000100243,6.811685e-7,0.00006467767,0.0003678375,0.001211879,0.007045296,0.3589875,0.0003315899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237731,0.000180684,0.0001126721,0.0005961048,0.0005334943,0.0001164749,0.000007807767,0.00007006109,0.07460959],"genre_scores_gemma":[0.9965597,0.00001602975,0.00003788021,0.0003569155,0.0007814847,0.000005934464,0.00003896363,0.00001754311,0.002185555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08746532,"threshold_uncertainty_score":0.9906296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01076898368156605,"score_gpt":0.1887776436385861,"score_spread":0.17800865995702,"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."}}