{"id":"W7063811309","doi":"","title":"Argan, Inc. Reports Second Quarter Results - Commodities (COMMODIT) News","year":2020,"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); Payment; Investment (military); Government (linguistics)","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":[0.001167302,0.0007532702,0.0003809831,0.001294713,0.001496749,0.007996361,0.0008777598,0.002365085,0.5341004],"category_scores_gemma":[0.003135521,0.0003267777,0.0006565749,0.000962367,0.0005439389,0.002656183,0.001131011,0.002741243,0.3922321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146451,"about_ca_system_score_gemma":0.002772382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104708,"about_ca_topic_score_gemma":0.02271339,"domain_scores_codex":[0.9989999,0.00005929176,0.00002595604,0.00008449132,0.0006740448,0.0001562651],"domain_scores_gemma":[0.9980295,0.0002800415,0.00006448127,0.0001584638,0.0009763824,0.0004910117],"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":[0.00003529496,0.00002282464,0.00005101944,0.00002103081,9.876991e-7,0.00002141232,0.000005529076,0.00001605977,0.0001029525,0.001895867,0.9866101,0.01121683],"study_design_scores_gemma":[0.000008242681,0.00001056046,0.0001864281,0.00002015062,0.00000139039,0.00001943701,0.00002708614,0.00004957948,0.0001375768,0.0003668155,0.9991693,0.000003499326],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005851258,0.0007660529,0.0004444369,0.007375197,0.006512173,0.00006860646,0.005047815,0.001217989,0.9779825],"genre_scores_gemma":[0.002206435,0.0005857533,0.000241152,0.001760168,0.0004816709,0.00002323521,0.002916654,0.000477817,0.9913071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5341004,"threshold_uncertainty_score":0.6645492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467932706389019,"score_gpt":0.2468661642908219,"score_spread":0.2321868372269317,"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."}}