{"id":"W7018982932","doi":"","title":"-$0.03 EPS Expected for Capstone Turbine Co. (CPST) This Quarter","year":2018,"lang":"en","type":"other","venue":"","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Turbine; Work (physics); Capstone","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000267397,0.0003406674,0.0003298529,0.0002760232,0.00002917057,0.00002207595,0.0002396626,0.000536127,0.01803684],"category_scores_gemma":[0.00002720855,0.0003088688,0.00007596231,0.0001158239,0.0000742287,0.00004398964,0.00002057079,0.0001346033,0.002161555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006722091,"about_ca_system_score_gemma":0.00001174678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178156,"about_ca_topic_score_gemma":0.00009910189,"domain_scores_codex":[0.9990943,0.000005491547,0.0002117695,0.0002857464,0.0001117686,0.0002909319],"domain_scores_gemma":[0.999285,0.00002369077,0.00005581627,0.0005556793,0.00004022911,0.00003960179],"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":[0.000002127796,0.00000669354,0.000001900448,0.00005521775,0.00007047642,9.545419e-7,0.00004001241,0.00003064634,0.001073729,0.0004031175,0.9977014,0.0006137212],"study_design_scores_gemma":[0.0003114863,0.00005498518,9.671578e-7,0.00003261069,0.00001402642,0.000002204753,0.00006970494,0.000788724,0.0223169,0.0001806231,0.9758264,0.000401362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001413436,0.00103674,0.1728315,0.00007978869,0.001327152,0.0005698388,0.00007461768,0.007409544,0.8166566],"genre_scores_gemma":[0.0003031536,0.0001222766,0.05629277,0.00006009376,0.0006452268,0.0002332504,0.0002038435,0.0006616023,0.9414778],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1248211,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009837342253343009,"score_gpt":0.2459088156464848,"score_spread":0.2360714733931418,"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."}}