{"id":"W6979795939","doi":"","title":"Alfa Laval Showcases Next-generation Technology at Distributed Energy Show","year":2023,"lang":"en","type":"other","venue":"","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Distributed generation; Field (mathematics); Efficient energy use","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009423531,0.0001624968,0.0001923563,0.0003312831,0.000325431,0.0001249086,0.0002449597,0.0003491353,0.01402349],"category_scores_gemma":[0.00005712602,0.0001522973,0.00007298772,0.000540563,0.0002018877,0.00005254428,0.0001688054,0.00006620326,0.00037519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678834,"about_ca_system_score_gemma":0.00008984233,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03291825,"about_ca_topic_score_gemma":0.7031044,"domain_scores_codex":[0.9988714,0.00005349582,0.0001442219,0.0003424131,0.000279472,0.0003089247],"domain_scores_gemma":[0.9995376,0.00002643445,0.00009001331,0.000241077,0.00003996097,0.00006487202],"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":[6.696507e-7,0.00001584565,0.00003571548,0.000003231371,0.00002924337,0.00000939596,0.00003929521,0.000001816185,0.00001843442,0.196167,0.7814787,0.02220062],"study_design_scores_gemma":[0.00006360953,0.00001752156,0.000006598872,0.00002565222,0.00002647439,3.17877e-7,0.0009522732,0.0001071179,0.00002977474,0.0007559027,0.9978232,0.0001915707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004267294,0.0003539242,0.001854437,0.007393321,0.0009022072,0.0002050111,0.0001575298,0.00201432,0.9870766],"genre_scores_gemma":[0.0117808,0.003292793,0.0001024245,0.0001176735,0.0008531627,0.00008266317,0.0004413915,0.000158027,0.983171],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6701862,"threshold_uncertainty_score":0.9868779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0669737945506911,"score_gpt":0.2909705224772646,"score_spread":0.2239967279265735,"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."}}