{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226463,0.001262811,0.0008748894,0.0024975,0.002546663,0.004803642,0.001654148,0.001840558,0.5579661],"category_scores_gemma":[0.005348647,0.0003874276,0.0007938093,0.001849665,0.0006048696,0.003540912,0.002491307,0.003162015,0.4182337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001930138,"about_ca_system_score_gemma":0.002813807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985199,"about_ca_topic_score_gemma":0.004225275,"domain_scores_codex":[0.9990312,0.0001004275,0.00006383697,0.0001950382,0.0004943572,0.0001151722],"domain_scores_gemma":[0.996861,0.0002709829,0.0001020057,0.0002190096,0.001930847,0.0006162429],"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":[0.00001921163,0.00001577876,0.00005950937,0.00008202391,0.000001498889,0.00003516337,0.00003640122,0.00003450951,0.0001048039,0.001868664,0.9673836,0.03035881],"study_design_scores_gemma":[0.000002729033,0.00001165657,0.0001483498,0.00007201084,0.000001125295,0.0000420213,0.00005200188,0.00001694729,0.00004265402,0.0006304265,0.9989768,0.000003206211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.0009662572,0.01089451,0.003360129,0.02342958,0.213864,0.0005648634,0.006834744,0.001594102,0.7384918],"genre_scores_gemma":[0.003089851,0.006374535,0.001277473,0.00462527,0.02281293,0.00019507,0.006289539,0.0005383936,0.9547968],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5579661,"threshold_uncertainty_score":0,"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."}}