{"id":"W7068071285","doi":"","title":"Norsk Hydro: Third quarter 2020 - Strong cash generation, improving markets","year":2020,"lang":"en","type":"other","venue":"","topic":"Yeasts and Rust Fungi Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cash; Quarter (Canadian coin); Earnings; Payment; Control (management)","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":[],"category_scores_codex":[0.00005528978,0.0003227431,0.0002609577,0.00003286683,0.00007496206,0.00004286295,0.0001781625,0.0003435904,0.001444953],"category_scores_gemma":[0.00002409767,0.0002610931,0.0001322197,0.00004671481,0.00004451999,0.000001041816,0.0001876901,0.000127666,0.0001672186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008877438,"about_ca_system_score_gemma":0.00006168702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001485583,"about_ca_topic_score_gemma":0.0006281264,"domain_scores_codex":[0.9988002,0.00003856096,0.0001989841,0.0005662326,0.0001358061,0.0002601815],"domain_scores_gemma":[0.9994183,0.000003286616,0.0001198015,0.000332936,0.00002844199,0.000097222],"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":[0.00001011581,0.00001223575,0.0001690791,0.00004219128,0.0001917009,0.000008831673,0.00001600364,0.000001152387,0.02214365,0.00004132923,0.9764801,0.0008836046],"study_design_scores_gemma":[0.0002776422,0.0001225208,0.00007633157,0.00001784089,0.00005912744,0.000008058724,0.0000588955,0.0001828157,0.00355746,0.000001742369,0.9952067,0.0004309244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004406386,0.005056606,0.002308731,0.0007978532,0.0008018958,0.0003871504,0.0001455515,0.00009245496,0.9899691],"genre_scores_gemma":[0.02316061,0.0008105343,0.001683852,0.0009537517,0.006278553,0.00003760637,0.0007439703,0.0003419211,0.9659892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02397992,"threshold_uncertainty_score":0.9999841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006679985855364258,"score_gpt":0.2150396940780445,"score_spread":0.2083597082226803,"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."}}