{"id":"W7045219098","doi":"","title":"Alfa Laval continues to invest in growth and accelerates towards net zero By Investing.com","year":2024,"lang":"en","type":"other","venue":"","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Zero (linguistics); Net (polyhedron); Work (physics); Production (economics); Duration (music)","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":[0.0008535775,0.0006117017,0.0003890679,0.000959044,0.001148335,0.005245297,0.0007687715,0.003067948,0.4019816],"category_scores_gemma":[0.003486705,0.0001462387,0.0004974778,0.0007334796,0.0007089346,0.001784803,0.001680734,0.002433025,0.2299759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002777722,"about_ca_system_score_gemma":0.005229204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008366,"about_ca_topic_score_gemma":0.01769079,"domain_scores_codex":[0.9993868,0.00006287755,0.00001506364,0.00007084273,0.0003295443,0.0001349254],"domain_scores_gemma":[0.9975949,0.0003531066,0.0001524245,0.0001219959,0.0007369522,0.001040588],"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":[0.0001515868,0.00004718017,0.0005561903,0.0001097821,0.000004949155,0.0001005779,0.00002406042,0.00009185931,0.0002764325,0.02107826,0.8829747,0.09458433],"study_design_scores_gemma":[0.00001207314,0.00001070281,0.0002537112,0.00004038947,0.000001381721,0.00003581549,0.00001779032,0.00007800175,0.0000903747,0.001175581,0.9982812,0.000003036488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001671348,0.003860038,0.0009066506,0.05127072,0.006637529,0.00005170807,0.004090269,0.001845113,0.9296666],"genre_scores_gemma":[0.009199027,0.003178582,0.0009247946,0.005488416,0.001014145,0.00002703293,0.002110546,0.0005264737,0.9775309],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4019816,"threshold_uncertainty_score":0.8530006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187374777118291,"score_gpt":0.2544361466185084,"score_spread":0.2425623988473255,"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."}}