{"id":"W4244227799","doi":"10.1002/div.5228","title":"Martin Marietta Materials, Inc.","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":true,"ca_institutions":"","funders":"","keywords":"Lime; Asphalt; Engineering; Business; Waste management; Archaeology; Geography; Materials science; Metallurgy","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":["insufficient_payload"],"category_scores_codex":[0.0003349377,0.0002360797,0.0002172934,0.000111657,0.0002128148,0.000324731,0.0003051974,0.00007062364,0.005058032],"category_scores_gemma":[0.00002356496,0.0002207398,0.00008194232,0.0003271619,0.00005331689,0.001040656,0.0002579353,0.00009505482,0.002693915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000035847,"about_ca_system_score_gemma":0.00001496316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007629509,"about_ca_topic_score_gemma":0.0008654706,"domain_scores_codex":[0.9985214,0.00001463725,0.0003559941,0.000336375,0.000363188,0.0004083969],"domain_scores_gemma":[0.999342,0.00001043393,0.0002901376,0.0002954637,0.00004736831,0.00001465211],"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":[0.0001068745,0.0002498637,0.1531192,0.000165645,0.00005310668,0.00008023559,0.00001290673,0.0001298929,0.0232328,0.1173776,0.7024988,0.002973066],"study_design_scores_gemma":[0.0004917624,0.000006469752,0.124931,0.00002519577,0.00006258722,0.000001156924,0.00002695801,0.00008911057,0.001587638,0.006149778,0.866241,0.0003873388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738821,0.0001111533,0.0001317473,0.002683804,0.001738151,0.0002138351,0.00002008176,0.0002062707,0.02101287],"genre_scores_gemma":[0.9918897,0.00001358651,0.00004615325,0.001558581,0.002195776,0.00002100497,0.0002335872,0.00003907738,0.004002519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1637423,"threshold_uncertainty_score":0.9989788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009226461295062792,"score_gpt":0.1777436997926835,"score_spread":0.1685172384976207,"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."}}