{"id":"W4244491129","doi":"10.1351/pac20067806iv","title":"Preface","year":2006,"lang":"en","type":"article","venue":"Pure and Applied Chemistry","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Chemistry; Operations research; Computer science; Engineering","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":[0.00001013828,0.00006290309,0.0000610816,0.000005498503,0.00002911057,0.0000229161,0.0000288408,0.00003974451,0.0001372045],"category_scores_gemma":[3.660512e-7,0.00006060909,0.00001926768,0.00004418264,0.000009113338,0.00001663964,0.000007092394,0.0000689083,0.00001723239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008649369,"about_ca_system_score_gemma":0.000001651896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003659372,"about_ca_topic_score_gemma":0.000001160147,"domain_scores_codex":[0.9997439,3.323898e-7,0.00006302753,0.00007307649,0.00003677296,0.00008283067],"domain_scores_gemma":[0.9998938,0.000005280037,0.000007389232,0.00006898682,0.000004790298,0.00001975721],"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":[0.000001316794,0.00001299644,0.0001316058,0.00006937471,0.00002438763,0.00000108528,0.00001430959,0.009489021,0.9794922,0.0001736809,0.008129016,0.002460961],"study_design_scores_gemma":[0.0001073061,7.025492e-7,0.0001702225,0.000006936897,0.00002291023,0.000005190238,0.00007059691,0.003060074,0.937006,0.0004946164,0.05890194,0.0001534797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7889778,0.000231095,0.0004215186,0.00003301377,0.00001608807,0.00001547591,0.000003784832,0.00011178,0.2101894],"genre_scores_gemma":[0.9976622,0.00002196996,0.0001465226,0.000006778081,0.0001087255,0.000007403029,0.00001363889,0.000008410356,0.002024333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2086844,"threshold_uncertainty_score":0.2471567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00180154252821909,"score_gpt":0.1592552633421305,"score_spread":0.1574537208139114,"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."}}