{"id":"W4242353271","doi":"10.1002/div.2750","title":"Martin Marietta Materials, Inc.","year":2005,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Corporate Governance and Law","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Lime; Business; Agricultural economics; Commerce; Materials science; Economics; 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":[0.0003917901,0.0002364169,0.0002175703,0.0001110122,0.0002055587,0.0002905666,0.00035049,0.00007095573,0.009608949],"category_scores_gemma":[0.00004037577,0.0002205345,0.00008141957,0.0002876259,0.00004840261,0.00150379,0.0003032424,0.0001119534,0.005904547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004694615,"about_ca_system_score_gemma":0.00001666142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091478,"about_ca_topic_score_gemma":0.0005368146,"domain_scores_codex":[0.9985237,0.00001461882,0.0003456511,0.000337706,0.0003633298,0.0004150375],"domain_scores_gemma":[0.9993305,0.00001042062,0.0002693691,0.0003198191,0.00004578142,0.0000241434],"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":[0.0001939467,0.0003705686,0.07773863,0.0002005157,0.0001336354,0.00005415361,0.00008169891,0.0002454843,0.02220757,0.07050707,0.7904137,0.03785298],"study_design_scores_gemma":[0.0004403495,0.000005983773,0.02924313,0.00002236771,0.00005296782,0.00000108509,0.00003622941,0.0001847811,0.001444646,0.0008284627,0.9674113,0.000328717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747133,0.0001382007,0.0001076894,0.008503325,0.001464484,0.0002292273,0.00001682445,0.0002174859,0.01460952],"genre_scores_gemma":[0.9888657,0.00003934535,0.0001014046,0.004611001,0.00283697,0.00002119454,0.0001104115,0.00003948931,0.003374533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1769975,"threshold_uncertainty_score":0.9948695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417921365896083,"score_gpt":0.1985969322058779,"score_spread":0.184417718546917,"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."}}