{"id":"W7054899606","doi":"","title":"Azure Power Announces Results for Third Quarter Fiscal 2022 – EQ Mag Pro","year":2022,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Power (physics); Fiscal year; Debt","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":[0.001515581,0.0007999212,0.0004971114,0.0009410478,0.002754079,0.006635689,0.001299768,0.005437635,0.3584532],"category_scores_gemma":[0.003470044,0.000344551,0.0007364507,0.0004595402,0.0007228629,0.001924881,0.002022926,0.004120637,0.2146856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002887395,"about_ca_system_score_gemma":0.00480163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04137156,"about_ca_topic_score_gemma":0.09551083,"domain_scores_codex":[0.9989386,0.00006828143,0.00001539947,0.00007676193,0.0006230815,0.0002779093],"domain_scores_gemma":[0.9987265,0.00008642465,0.0000453441,0.00009052087,0.0004864278,0.0005646763],"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":[0.00009042093,0.00003108507,0.00008994799,0.000008919936,0.000002756285,0.00002676761,0.000004335716,0.00005111044,0.00009615147,0.002703942,0.9921181,0.004776395],"study_design_scores_gemma":[0.00004973956,0.00003847958,0.001279589,0.00001741443,0.000003644273,0.00001980831,0.00004398955,0.0002588042,0.0002127743,0.001634445,0.9964317,0.000009605861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00221106,0.0006145362,0.0006624117,0.02633472,0.01112918,0.0001353001,0.0103619,0.00155985,0.9469911],"genre_scores_gemma":[0.005096144,0.0001320394,0.0002302318,0.004801385,0.0007157833,0.00003756102,0.002389242,0.0002468101,0.9863507],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3584532,"threshold_uncertainty_score":0.9150887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400561697412991,"score_gpt":0.2707765455121989,"score_spread":0.2567709285380689,"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."}}