{"id":"W4249459934","doi":"10.1002/div.1246","title":"PPG Industries, Inc.","year":2004,"lang":"en","type":"article","venue":"Mergent s Dividend Achievers","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Aerospace; Speciality chemicals; Business; Engineering; Manufacturing engineering; Environmental engineering","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":[],"category_scores_codex":[0.00009424092,0.0001536882,0.0001902216,0.00007259523,0.0001087395,0.00001831939,0.000106194,0.00006852655,0.001275123],"category_scores_gemma":[0.00003354548,0.000130878,0.00008954687,0.0002198581,0.00005064104,0.0001359732,0.00009485574,0.0002722892,0.0002931651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711057,"about_ca_system_score_gemma":0.0001175724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177814,"about_ca_topic_score_gemma":0.00004419222,"domain_scores_codex":[0.9989589,0.00001689841,0.000199985,0.0002203975,0.0003254857,0.0002783609],"domain_scores_gemma":[0.9994031,0.00001347895,0.00004542043,0.0002784892,0.00002225985,0.0002372462],"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":[0.001665193,0.003271146,0.3738021,0.0003062473,0.001504657,0.002985806,0.00198283,0.0007045504,0.02554945,0.02103691,0.5129787,0.05421245],"study_design_scores_gemma":[0.005755816,0.0007268816,0.07461309,0.0001685623,0.0003878014,0.0001849513,0.000496263,0.000008669334,0.01552921,0.0006396513,0.9009951,0.0004940011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737768,0.0005655313,0.0001198839,0.02147922,0.0005718551,0.0002425314,0.00002428981,0.00009895889,0.003120995],"genre_scores_gemma":[0.9935395,0.0001290207,0.0002227733,0.004933686,0.0002517237,0.00001335426,0.0001176668,0.0000211325,0.0007711513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3880164,"threshold_uncertainty_score":0.9996378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02353127043630885,"score_gpt":0.2648513491551407,"score_spread":0.2413200787188318,"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."}}