{"id":"W7053537994","doi":"","title":"Venator Announces Fourth Quarter and Full Year 2017 Results; Reports Strong Earnings and Cash Generation","year":2018,"lang":"en","type":"other","venue":"","topic":"Nuclear reactor physics and engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Cash; Revenue","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":[],"consensus_categories":[],"category_scores_codex":[0.00006974042,0.0001824388,0.0001720779,0.0000748594,0.00002535097,0.00008314729,0.00003267529,0.0001333057,0.00009499065],"category_scores_gemma":[0.000006509769,0.0001720327,0.00001888932,0.00003216481,0.00002411461,0.00006738301,0.00002048192,0.0001081805,0.00003465997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001466943,"about_ca_system_score_gemma":0.000005517108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006613129,"about_ca_topic_score_gemma":0.00007783627,"domain_scores_codex":[0.9993884,0.000004498501,0.000142109,0.0002178713,0.00009713622,0.0001499739],"domain_scores_gemma":[0.999672,0.000005548288,0.00005514899,0.0001888878,0.0000129903,0.00006543301],"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":[0.000002341114,0.000003146404,0.000045635,0.00007760026,0.00006993697,0.0000211613,0.0001255029,0.00009108568,0.00172703,0.0001529261,0.9970319,0.0006516922],"study_design_scores_gemma":[0.0001374077,0.00004194139,0.0001634076,0.00007598455,0.00001787745,0.00002853199,0.00002937673,0.008670665,0.00003872749,0.000008453993,0.9905127,0.0002748904],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02432282,0.0005720804,0.0009779856,0.00002081775,0.001057027,0.0001897447,0.00004276694,0.000623569,0.9721932],"genre_scores_gemma":[0.5755849,0.001389272,0.009666333,0.00002907694,0.008694162,0.00003053012,0.0004487495,0.001910527,0.4022464],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5699468,"threshold_uncertainty_score":0.7015292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00943975324572671,"score_gpt":0.1947457241490299,"score_spread":0.1853059709033032,"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."}}