{"id":"W4247418639","doi":"10.1002/div.2969","title":"Canadian Dividend Achievers Ranked by Return on Assets","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Dividend; Citation; Computer science; Actuarial science; World Wide Web; Econometrics; Economics; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.001171502,0.0003977313,0.0004743377,0.005701148,0.005298018,0.003386739,0.000874466,0.0008080432,0.0164728],"category_scores_gemma":[0.004732729,0.0002329159,0.0004551241,0.005638076,0.0006796761,0.0007301818,0.001179261,0.001406237,0.001473246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03305278,"about_ca_system_score_gemma":0.05816738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836322,"about_ca_topic_score_gemma":0.9948514,"domain_scores_codex":[0.9969389,0.00007384044,0.00006670444,0.0001100825,0.00140213,0.001408361],"domain_scores_gemma":[0.9930295,0.0001839376,0.000434643,0.00008892531,0.003553663,0.002709179],"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":[0.0005294931,0.0002053054,0.3147288,0.0001467728,0.0001076062,0.0002458453,0.002632621,0.001415271,0.000547356,0.06673358,0.5098143,0.1028931],"study_design_scores_gemma":[0.0001132464,0.00009157951,0.8117042,0.00009029876,0.00005715802,0.0001140626,0.006349317,0.001794473,0.000697636,0.002145889,0.1767495,0.0000926592],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6248463,0.002679844,0.0007090777,0.02336411,0.0003635713,0.0001766543,0.02923658,0.0004703049,0.3181535],"genre_scores_gemma":[0.9210721,0.001020099,0.0007345447,0.0007391953,0.00006045119,0.00004824132,0.007765948,0.00006102562,0.06849828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03305278,"threshold_uncertainty_score":0.2398158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462320442821865,"score_gpt":0.274424592678333,"score_spread":0.2598013882501143,"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."}}