{"id":"W4245422848","doi":"10.1016/s1365-6937(11)70272-6","title":"Alfa Laval AB, Sweden","year":2011,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Metallurgy and Material Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology","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":["insufficient_payload"],"category_scores_codex":[0.0005773252,0.0001124053,0.0001408483,0.00005548863,0.0001964549,0.00009529284,0.000318223,0.0002249941,0.03013087],"category_scores_gemma":[0.00007999134,0.00009443769,0.00004555243,0.0002521076,0.0001089728,0.0005124237,0.00004143782,0.0001639261,0.001351693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001765285,"about_ca_system_score_gemma":0.00007303376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005303138,"about_ca_topic_score_gemma":0.00008422611,"domain_scores_codex":[0.9988391,0.0001021154,0.000274349,0.0002883735,0.0002535274,0.0002425657],"domain_scores_gemma":[0.9993826,0.00001597947,0.0001298304,0.0002796777,0.00006223637,0.0001296347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002768186,0.00006743214,0.0026005,0.00000743962,0.000009297324,0.00001529518,0.0004658085,0.00004839718,0.9847905,0.007133747,0.004573084,0.0002608287],"study_design_scores_gemma":[0.0001768501,0.00006674703,0.02321951,0.00001638247,0.00003747992,0.0000226782,0.0002575133,0.000140382,0.965296,0.001108527,0.009392569,0.0002653776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473445,0.00001041399,0.001086474,0.0001260469,0.0007619031,0.00008654222,0.00001500593,0.0000946264,0.05047447],"genre_scores_gemma":[0.9957697,0.00000337,0.001140148,0.000166917,0.0002383943,0.00001438116,0.00001428885,0.000005880225,0.002646872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04842523,"threshold_uncertainty_score":0.9994259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06905237085989344,"score_gpt":0.2693861761001604,"score_spread":0.200333805240267,"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."}}