{"id":"W6987874606","doi":"","title":"Vectren Corporation Reports Strong First Quarter 2015 Results; Results on Track and Guidance Affirmed - NYSE (NYSE0001) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporation; Track (disk drive); Quarter (Canadian coin); Window (computing)","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":[0.004588065,0.0006592872,0.0006101217,0.001708965,0.004504392,0.01137652,0.001677916,0.01900155,0.2430052],"category_scores_gemma":[0.01702381,0.0005237672,0.001236428,0.0008941359,0.001634867,0.002719989,0.003712828,0.01090976,0.1159731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004357404,"about_ca_system_score_gemma":0.01609592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03530671,"about_ca_topic_score_gemma":0.1096641,"domain_scores_codex":[0.9949096,0.0004365245,0.0001884621,0.0002861774,0.002885918,0.001293293],"domain_scores_gemma":[0.9887707,0.002480333,0.0005151438,0.0004264689,0.004234903,0.003572494],"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":[0.00001134775,0.00001537719,0.0001246636,0.00001109049,0.00000150622,0.00003446557,0.00001622588,0.000005984273,0.00002180678,0.001874085,0.9954397,0.002443716],"study_design_scores_gemma":[0.00003728769,0.00002343422,0.001504834,0.000115859,0.000008189846,0.00004244727,0.0001400256,0.00007067294,0.000158501,0.001064062,0.9968204,0.00001417715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001653507,0.001604651,0.0002777631,0.2203692,0.02809094,0.0002262298,0.003921197,0.0006553612,0.7432012],"genre_scores_gemma":[0.005071013,0.000650447,0.0002141449,0.07845139,0.005533201,0.0001060709,0.001313449,0.00023602,0.9084243],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7569948,"threshold_uncertainty_score":0.8129332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749318782175142,"score_gpt":0.2909618320619163,"score_spread":0.2634686442401649,"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."}}