{"id":"W7011666184","doi":"","title":"Minerals Technologies Reports First Quarter Earnings of $0.97 Per Share, or $1.07 Per Share, Excluding Special Items","year":2017,"lang":"en","type":"other","venue":"","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Statistical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.000963861,0.0008029386,0.0004754907,0.004515619,0.0006204991,0.00255338,0.001001454,0.000610487,0.1359156],"category_scores_gemma":[0.00873549,0.0003028105,0.0004543976,0.005492456,0.0002687638,0.001054246,0.0009137457,0.001157958,0.07623284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094837,"about_ca_system_score_gemma":0.002975519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03965453,"about_ca_topic_score_gemma":0.03514752,"domain_scores_codex":[0.9981439,0.0001319345,0.0001741941,0.0001752305,0.001172595,0.000202083],"domain_scores_gemma":[0.9943277,0.0008467451,0.001477041,0.0004201858,0.002672529,0.0002557565],"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":[0.000190853,0.00007779476,0.01308778,0.0003002476,0.00003177891,0.00006846264,0.00009109321,0.0004080954,0.0003495458,0.005220401,0.9322063,0.04796759],"study_design_scores_gemma":[0.00007030821,0.00006793333,0.04284041,0.0002582562,0.00003811674,0.000148113,0.0002591169,0.0009949986,0.002124897,0.002537498,0.9506236,0.00003653091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01999609,0.00119156,0.003634981,0.002284703,0.0008915749,0.0003374063,0.5468773,0.004057159,0.4207293],"genre_scores_gemma":[0.06275942,0.002729734,0.003802709,0.0006325506,0.0008320396,0.0004241482,0.3950358,0.002205733,0.5315779],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1359156,"threshold_uncertainty_score":0.4546831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025157826307968,"score_gpt":0.2972285464382969,"score_spread":0.2569769681752172,"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."}}