{"id":"W4239223778","doi":"10.1002/div.1739","title":"Quebecor World Inc.","year":2004,"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; Product (mathematics); Library science; Advertising; Political science; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000236807,0.0007889543,0.0003716206,0.001271758,0.00411606,0.003502678,0.000904704,0.001897734,0.7203732],"category_scores_gemma":[0.0009669132,0.0003107325,0.0002604649,0.002170101,0.0006147933,0.001212335,0.0007835153,0.001418425,0.3098881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008060002,"about_ca_system_score_gemma":0.007279192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.664921,"about_ca_topic_score_gemma":0.8602898,"domain_scores_codex":[0.9996437,0.00002058585,0.00001027987,0.00006988227,0.0001730111,0.00008260917],"domain_scores_gemma":[0.9993918,0.00004894453,0.00002756325,0.00004277817,0.000399023,0.00008990258],"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":[0.00001985458,0.0000119186,0.0002119201,0.00005702785,0.000001912332,0.00009643731,0.00005497831,0.00003824501,0.0001662495,0.00847293,0.9382814,0.05258706],"study_design_scores_gemma":[0.000002382064,0.000001886483,0.0003615826,0.00003936741,7.704501e-7,0.0000252232,0.00004842163,0.00001591254,0.00003033224,0.0001382438,0.9993338,0.000002131773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003489402,0.002182138,0.0000726879,0.002067036,0.0003489482,0.00001717842,0.001620466,0.0001159177,0.9932267],"genre_scores_gemma":[0.001427296,0.0005142683,0.0000535597,0.0003917574,0.00001663624,0.000006405328,0.0002948738,0.00002706555,0.9972681],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7203732,"threshold_uncertainty_score":0.6741046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808806896731602,"score_gpt":0.2691731218730678,"score_spread":0.2510850529057518,"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."}}