{"id":"W4210756712","doi":"10.1002/div.3165","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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Lime; Business; Agricultural economics; Waste management; Commerce; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004462205,0.001105498,0.0003375936,0.002044412,0.001430319,0.002445555,0.0007859509,0.001585964,0.6515328],"category_scores_gemma":[0.000957897,0.0006804146,0.0002460852,0.000867673,0.0003580857,0.001460779,0.001377442,0.001068056,0.5140412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095707,"about_ca_system_score_gemma":0.001422571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006394377,"about_ca_topic_score_gemma":0.02639485,"domain_scores_codex":[0.9993042,0.00003178185,0.00002263454,0.0001532945,0.0004249807,0.00006319383],"domain_scores_gemma":[0.9993857,0.00008298158,0.00005538381,0.00008404184,0.000255266,0.0001364998],"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":[0.0000961602,0.0001178738,0.0007294975,0.000320707,0.000005847411,0.000283946,0.000160867,0.0002057366,0.003456022,0.01580072,0.6057442,0.3730784],"study_design_scores_gemma":[0.0000056264,0.0000172701,0.0006829379,0.00007541953,0.000003028369,0.0001674026,0.00003201648,0.00008997948,0.0003851463,0.0004307594,0.9981066,0.000003762552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0009603939,0.002758231,0.0007595095,0.0009767755,0.0002741885,0.00005371241,0.0007773243,0.0008870158,0.9925528],"genre_scores_gemma":[0.00245517,0.0008139844,0.0005516601,0.0001033512,0.00002311719,0.00002062106,0.0003024431,0.0000723226,0.9956573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6515328,"threshold_uncertainty_score":0.4970461,"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."}}