{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007621,0.0005499589,0.0002117464,0.0004197737,0.0007228599,0.002482009,0.0007177992,0.002188833,0.344588],"category_scores_gemma":[0.001231728,0.0002106178,0.0003064648,0.0003626015,0.0003626687,0.001227729,0.001403544,0.001315352,0.1141582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908315,"about_ca_system_score_gemma":0.005039448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153132,"about_ca_topic_score_gemma":0.0286436,"domain_scores_codex":[0.9997699,0.00001723875,0.000004845433,0.00002528648,0.0001080101,0.00007478659],"domain_scores_gemma":[0.9992637,0.0000413894,0.00002730352,0.00003518748,0.000151185,0.0004812437],"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":[0.0001658506,0.00004467987,0.0002496817,0.00008446088,0.000002995437,0.00007874264,0.00001048866,0.0002747707,0.0005076553,0.008251914,0.9501258,0.04020298],"study_design_scores_gemma":[0.00004936339,0.000036977,0.0009691621,0.00004911779,0.000001933595,0.00003051305,0.00003155309,0.0002583867,0.0004627061,0.003477192,0.9946265,0.000006610501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004431619,0.002895745,0.001513158,0.01917996,0.008908099,0.0001619365,0.02218014,0.002534588,0.9381948],"genre_scores_gemma":[0.01019944,0.0008516302,0.0009479561,0.00133483,0.0002784329,0.00004095618,0.003658117,0.0004154446,0.9822732],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.344588,"threshold_uncertainty_score":0.9348657,"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."}}