{"id":"W4395014319","doi":"10.1088/1742-6596/2738/1/011001","title":"Preface","year":2024,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00004375419,0.00005518435,0.00008225753,0.00002883784,0.00001686863,0.00012817,0.0000579616,0.00002008169,0.0001246084],"category_scores_gemma":[0.000007359864,0.0000458375,0.00003783792,0.00009292689,0.00001757367,0.0008593342,0.000003536243,0.0001430957,0.00003797144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001222907,"about_ca_system_score_gemma":0.00006375096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.079079e-7,"about_ca_topic_score_gemma":0.000001198361,"domain_scores_codex":[0.9996645,0.000004973477,0.0001442412,0.00003123539,0.00009983389,0.00005525222],"domain_scores_gemma":[0.9997756,0.00001800529,0.00002424888,0.00003667415,0.0001153902,0.00003006351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003099782,0.00004217864,0.00005602635,0.0007531952,0.0002618248,0.00005994795,0.005188331,0.01891183,0.1953293,0.3774244,0.03849598,0.3634459],"study_design_scores_gemma":[0.0000870545,0.00009107777,0.0001189327,0.0001801848,0.00002695698,0.0001142425,0.000580228,0.004685687,0.6149129,0.03678849,0.3422559,0.0001582611],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08866019,0.005572448,0.7654943,0.001567441,0.005273349,0.000102978,0.00001478918,0.0005714925,0.132743],"genre_scores_gemma":[0.997247,0.0004841934,0.0004030392,0.00001266124,0.0002345464,6.773231e-7,6.139492e-7,0.000008198036,0.001609026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9085869,"threshold_uncertainty_score":0.1869199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02134619825729497,"score_gpt":0.2579487434311012,"score_spread":0.2366025451738062,"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."}}