{"id":"W7058436217","doi":"","title":"Norsk Hydro: Third quarter 2020 - Strong cash generation, improving markets - OTC BB (OTCBULLB) News","year":2020,"lang":"en","type":"other","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cash; Quarter (Canadian coin); Earnings; Control (management); Revenue","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":[],"consensus_categories":[],"category_scores_codex":[0.000738056,0.0006356479,0.0002980122,0.000415831,0.001515383,0.004432244,0.0006108172,0.00388596,0.2422275],"category_scores_gemma":[0.001809603,0.0002937428,0.0004678903,0.0003366811,0.0005066567,0.00156378,0.001344645,0.0034256,0.1121532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001854531,"about_ca_system_score_gemma":0.003872375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011347,"about_ca_topic_score_gemma":0.06323353,"domain_scores_codex":[0.9995483,0.00002462027,0.000008530526,0.00003785255,0.0002554115,0.0001251798],"domain_scores_gemma":[0.9993629,0.00006753455,0.00003159008,0.00003548873,0.0002213186,0.0002811624],"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":[0.00005683174,0.00001468245,0.00006089154,0.00002586511,0.000001340279,0.00005013269,0.000006373663,0.00005194985,0.0001597431,0.002013591,0.9893821,0.008176414],"study_design_scores_gemma":[0.00001804533,0.00001574928,0.0004410648,0.00002579685,0.000001490014,0.00001616346,0.00002933158,0.0001043412,0.0001816803,0.0009160453,0.998245,0.000005414807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001949012,0.002192238,0.0009460315,0.0416551,0.03343048,0.0001191502,0.008158223,0.001688497,0.9098614],"genre_scores_gemma":[0.005472186,0.0006341207,0.0002715515,0.003925709,0.0008545584,0.00002530056,0.001296108,0.0002546642,0.9872658],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2422275,"threshold_uncertainty_score":0.8103316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006797234508348416,"score_gpt":0.1951259600449258,"score_spread":0.1883287255365774,"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."}}