{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009146945,0.0001551217,0.0001977625,0.0001205287,0.00009855368,0.00001876574,0.0001038154,0.00003017033,0.002129901],"category_scores_gemma":[0.00001629963,0.0001308849,0.0001423402,0.000225427,0.00004064216,0.0001333765,0.00008423525,0.0001959162,0.000529061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850953,"about_ca_system_score_gemma":0.0000676323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315427,"about_ca_topic_score_gemma":0.001015561,"domain_scores_codex":[0.9989675,0.00001704157,0.0002069219,0.0002321623,0.0002958031,0.0002805441],"domain_scores_gemma":[0.9994003,0.00001610521,0.00004562907,0.0002871369,0.00001746378,0.0002333761],"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":[0.002223993,0.004116306,0.3945175,0.0005173775,0.001615119,0.003389939,0.001990201,0.0009548308,0.03571882,0.04033253,0.4763782,0.03824513],"study_design_scores_gemma":[0.005935381,0.0005042577,0.1342321,0.0002195989,0.0004429102,0.0001216736,0.0002620511,0.00002029666,0.01024716,0.001216334,0.8462237,0.0005745853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626693,0.0005970653,0.0001927948,0.02875023,0.0008553003,0.0002985802,0.0000182874,0.0001281691,0.006490277],"genre_scores_gemma":[0.9886657,0.00007678018,0.0005626215,0.007256735,0.0002753652,0.00001723496,0.00007305587,0.0000239039,0.003048579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3698454,"threshold_uncertainty_score":0.9987823,"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."}}