{"id":"W7067447072","doi":"","title":"MasTec Schedules Third Quarter 2014 Earnings Release and Conference Call<MTZ.N>","year":2014,"lang":"en","type":"other","venue":"","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Work (physics); Duration (music)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003817423,0.0007959808,0.0008586612,0.0004013508,0.0001398626,0.001313428,0.001877375,0.0006704816,0.004087238],"category_scores_gemma":[0.0001242765,0.0006909479,0.0001705891,0.0001941298,0.0004383604,0.0008846971,0.0009400048,0.0005785814,0.02840639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003825528,"about_ca_system_score_gemma":0.0002119143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005599563,"about_ca_topic_score_gemma":0.00363439,"domain_scores_codex":[0.9964419,0.0001337238,0.0005987223,0.001586047,0.0004432956,0.0007963385],"domain_scores_gemma":[0.9962225,0.0001463453,0.0004964045,0.002409101,0.000126384,0.0005992586],"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":[0.00000878738,0.00005436218,0.0003868367,0.0001292968,0.00006011249,0.000003859143,0.0001311913,0.000001081466,0.00003913265,0.04124237,0.9480156,0.009927387],"study_design_scores_gemma":[0.0004766074,0.00003492888,0.0001924612,0.0002425984,0.00002492775,0.00004221037,0.000008279604,0.0002049178,0.000005887183,0.001380241,0.9964319,0.0009550368],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002754478,0.0005623146,0.4421492,0.0007353056,0.0004294561,0.0002876362,0.00008383963,0.0005813547,0.5548955],"genre_scores_gemma":[0.003092157,0.0002704607,0.1205646,0.001807759,0.0004560695,0.00005308542,0.0004090512,0.0002293021,0.8731175],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3215846,"threshold_uncertainty_score":0.9997233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245071341634581,"score_gpt":0.246010628356475,"score_spread":0.2135599149401292,"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."}}