{"id":"W6987607485","doi":"","title":"Terex Announces First Quarter 2024 Financial Results Conference Call","year":2024,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Financial services; Financial management; Work (physics)","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":[0.003498089,0.001318778,0.001270314,0.00200906,0.002481632,0.01203463,0.001485315,0.006476164,0.6300278],"category_scores_gemma":[0.005671116,0.0005258083,0.001357717,0.0009305218,0.000614522,0.002385057,0.002751918,0.004870148,0.5368246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002492042,"about_ca_system_score_gemma":0.003390626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008926651,"about_ca_topic_score_gemma":0.02140809,"domain_scores_codex":[0.9980764,0.0001707337,0.00004737456,0.0001808829,0.001028972,0.0004956431],"domain_scores_gemma":[0.9962094,0.0004337044,0.0001318293,0.0002229383,0.001196544,0.001805531],"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":[0.00006152218,0.00003202327,0.0000495534,0.00001204264,0.000002335157,0.00002742195,0.000003603803,0.00002949311,0.00005541257,0.0008409114,0.9952286,0.003657047],"study_design_scores_gemma":[0.00006873359,0.00005652782,0.0009220435,0.00003830152,0.000005990138,0.00002314644,0.00006150994,0.000253526,0.0001848505,0.001395599,0.9969722,0.00001756554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002552645,0.001668821,0.001091165,0.04723566,0.04925997,0.0004487351,0.01536863,0.003571472,0.8788029],"genre_scores_gemma":[0.00161783,0.0001514137,0.0001603946,0.002852803,0.001548833,0.00005397525,0.001839125,0.0002930921,0.9914826],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6300278,"threshold_uncertainty_score":0.5277204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965144914668618,"score_gpt":0.2096343595737823,"score_spread":0.1699829104270962,"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."}}