{"id":"W6991354130","doi":"","title":"Genie Energy to Report Fourth Quarter and Full Year 2023 Results | GNE Stock News","year":2024,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Quarter (Canadian coin); Energy (signal processing); Economic forecasting","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":["insufficient_payload"],"category_scores_codex":[0.001305321,0.0008128773,0.0005710797,0.001624487,0.0008807195,0.005593979,0.0009063576,0.003464604,0.3541608],"category_scores_gemma":[0.003897458,0.0003008804,0.000722356,0.001121431,0.0003438468,0.001477863,0.001409797,0.002893821,0.3445011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015504,"about_ca_system_score_gemma":0.002977004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01496452,"about_ca_topic_score_gemma":0.03281412,"domain_scores_codex":[0.9988727,0.00004969549,0.00002551643,0.00007813853,0.0007986192,0.0001753367],"domain_scores_gemma":[0.9981964,0.0001865113,0.000112315,0.0001544888,0.0009022567,0.0004480295],"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":[0.00003471802,0.00001065134,0.0001150026,0.00001526126,0.000002250209,0.00001552113,0.000002459573,0.00002076969,0.00005313375,0.0003279245,0.9932678,0.00613456],"study_design_scores_gemma":[0.00002090321,0.00001844893,0.001467906,0.00004845322,0.000003804136,0.0000122548,0.00002222509,0.00009768219,0.000224912,0.0004885163,0.9975865,0.00000841031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002853873,0.003600889,0.0006656523,0.04947084,0.04147584,0.0002771728,0.05448797,0.003061877,0.8441059],"genre_scores_gemma":[0.002770929,0.0007625492,0.000194276,0.004610184,0.00132809,0.00005662506,0.008422659,0.0004578027,0.9813969],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6458392,"threshold_uncertainty_score":0.9212113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03272900511623572,"score_gpt":0.2148707559712554,"score_spread":0.1821417508550196,"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."}}