{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004133106,0.001072024,0.0003269631,0.00197995,0.00150315,0.002359999,0.0007908594,0.001570281,0.6577697],"category_scores_gemma":[0.0009637374,0.0006503056,0.0002463085,0.0008997421,0.0003414241,0.001483243,0.001418467,0.001108959,0.5224137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059188,"about_ca_system_score_gemma":0.001330854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006086132,"about_ca_topic_score_gemma":0.02545056,"domain_scores_codex":[0.9993516,0.0000313583,0.00002205007,0.0001524576,0.0003815333,0.00006101518],"domain_scores_gemma":[0.999401,0.00008521126,0.00005342076,0.00008216504,0.0002365425,0.000141775],"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":[0.00007964908,0.00009430254,0.0005800775,0.0002516042,0.000004664284,0.0002211829,0.0001329239,0.0001682178,0.00236505,0.01511576,0.6331639,0.3478226],"study_design_scores_gemma":[0.000004484051,0.00001338028,0.0005500143,0.00005869775,0.000002199857,0.0001392977,0.00002496308,0.00007483653,0.0002453824,0.0003751131,0.9985084,0.000003116768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007418335,0.002561301,0.0006937155,0.0008856153,0.0002515425,0.00004257497,0.0006756236,0.0007734979,0.9933744],"genre_scores_gemma":[0.002090519,0.0007621282,0.0005313259,0.0001000656,0.00002388759,0.0000188451,0.0002794731,0.0000719234,0.9961218],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6577697,"threshold_uncertainty_score":0.48815,"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."}}