{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000396071,0.001018283,0.0003703363,0.001811154,0.001387739,0.002701754,0.0008563559,0.001702557,0.7361936],"category_scores_gemma":[0.001047615,0.0005458778,0.0002605099,0.0008266794,0.0003798554,0.001525027,0.001499297,0.001114033,0.634332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000865797,"about_ca_system_score_gemma":0.0012969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005114326,"about_ca_topic_score_gemma":0.01877826,"domain_scores_codex":[0.9993873,0.00002548773,0.0000200756,0.0001501898,0.0003639365,0.00005291208],"domain_scores_gemma":[0.9993345,0.00008799654,0.00005384582,0.00007805263,0.000269865,0.0001757414],"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":[0.0000638789,0.00008180583,0.0004057949,0.000214341,0.000004018641,0.000183038,0.0001004708,0.0001064051,0.001801751,0.009349579,0.6911933,0.2964956],"study_design_scores_gemma":[0.000004448444,0.00001125483,0.0003688236,0.00005328711,0.000001909413,0.000115424,0.00002397339,0.00005577607,0.0001879857,0.0003390302,0.9988354,0.000002757685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005007579,0.002349184,0.0006157502,0.001114966,0.0002998392,0.00004296614,0.0007231716,0.001007291,0.9933461],"genre_scores_gemma":[0.001242138,0.0007373317,0.0004183037,0.0001373443,0.00002778661,0.00001587358,0.0002692345,0.00007622843,0.9970758],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7361936,"threshold_uncertainty_score":0.3762878,"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."}}