{"id":"W7002090834","doi":"","title":"MasTec, Inc. - A Financial Analysis and Valuation Report","year":2022,"lang":"en","type":"article","venue":"RED - a Repository of Digital Collections (Minnesota State University Moorhead)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitor analysis; Subsidiary; Valuation (finance); Financial analysis; Purchasing power; Market analysis; Stock market; Strategic fit; Financial ratio; Market capitalization; Stock exchange","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":[0.0001408988,0.0001284725,0.0003242368,0.0008422743,0.0009441873,0.0000405802,0.00008104481,0.00005074762,0.00002688598],"category_scores_gemma":[0.0002492473,0.0001553422,0.000160014,0.002575795,0.0001466338,0.0002605451,0.0002001008,0.0002000664,7.442932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002973222,"about_ca_system_score_gemma":0.000335866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004791636,"about_ca_topic_score_gemma":0.00006286802,"domain_scores_codex":[0.9987296,0.00007417823,0.0002901159,0.0003320388,0.000403784,0.0001702536],"domain_scores_gemma":[0.9989841,0.0001356148,0.000224538,0.0002824558,0.0002264667,0.000146831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01635607,0.007199122,0.8311788,0.0005565677,0.008543878,0.01982143,0.007953164,0.01833739,0.009230683,0.001468547,0.06146924,0.01788515],"study_design_scores_gemma":[0.01442476,0.01049894,0.706605,0.0002192442,0.01349906,0.01288666,0.01020221,0.03350237,0.006715742,0.001767366,0.1876192,0.002059475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712174,0.00006786811,0.003029558,0.0003027431,0.000138225,0.000349518,0.0002962862,0.0001024717,0.02449592],"genre_scores_gemma":[0.9650279,0.00001585719,0.0004673761,0.000008302572,0.00002131374,0.000003964485,0.000231267,0.000009443146,0.03421457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1261499,"threshold_uncertainty_score":0.7262021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116446629140109,"score_gpt":0.2105917633318651,"score_spread":0.199427297040464,"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."}}