{"id":"W4232038233","doi":"10.1002/div.7092","title":"Martin Marietta Materials, Inc.","year":2008,"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; Engineering; Asphalt; Business; Archaeology; Agricultural economics; Waste management; Geography; Materials science; Metallurgy; Economics","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":[0.0002806328,0.0002377992,0.0002383823,0.0001130242,0.0003515154,0.0001347149,0.0003393168,0.00007102526,0.005929902],"category_scores_gemma":[0.00004816433,0.0002214518,0.00008681458,0.0003415904,0.00008653029,0.001158533,0.0003020364,0.000112797,0.003636783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003295061,"about_ca_system_score_gemma":0.00002432259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028467,"about_ca_topic_score_gemma":0.000177688,"domain_scores_codex":[0.9985081,0.00001601826,0.0003312119,0.0003421784,0.0003978588,0.0004046628],"domain_scores_gemma":[0.999316,0.00001128712,0.0002688838,0.0003266452,0.00005268437,0.00002452582],"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":[0.0001772071,0.0002766812,0.2447016,0.0001701495,0.000111647,0.0003018121,0.00009911275,0.0000582871,0.01520787,0.02859362,0.7072638,0.003038168],"study_design_scores_gemma":[0.0005729682,0.00001026915,0.1349102,0.00002490231,0.00005088016,0.000006817678,0.00004375362,0.00007322757,0.001320188,0.001117568,0.8614407,0.0004285184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860902,0.00009438655,0.00008029858,0.00202951,0.001641942,0.0001894737,0.00001368674,0.0001806685,0.009679829],"genre_scores_gemma":[0.9923815,0.00008520743,0.00004704121,0.002601805,0.001389703,0.00002079232,0.000117807,0.00003889565,0.003317225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1541769,"threshold_uncertainty_score":0.997139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614559888508902,"score_gpt":0.1915872461281851,"score_spread":0.1654416472430961,"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."}}