{"id":"W4385170776","doi":"10.1088/1742-6596/2543/1/011001","title":"Preface","year":2023,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Differential Equations and Numerical Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Originality; Library science; Political science; Relevance (law); Computer science; Law","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":[0.0003063191,0.00008570039,0.0002464544,0.00005071763,0.00005403349,0.00005566601,0.0001685561,0.00003054635,0.0001072287],"category_scores_gemma":[0.0003789475,0.0000646929,0.0001040132,0.0003018123,0.00005659123,0.0003135215,0.00004269583,0.0001442029,0.00003087555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001108808,"about_ca_system_score_gemma":0.00007702215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001264056,"about_ca_topic_score_gemma":9.273082e-7,"domain_scores_codex":[0.9991854,0.00007636169,0.0002965933,0.00006225695,0.0002464137,0.0001329747],"domain_scores_gemma":[0.9989945,0.0002489973,0.0002785027,0.0001251202,0.0002920496,0.00006088367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003781339,0.00008490546,0.00007261924,0.00005280606,0.00006459551,0.000008842979,0.0009633739,0.00001460403,0.01265642,0.7428441,0.002271166,0.2409288],"study_design_scores_gemma":[0.0001521018,0.000168379,0.0004694199,0.00005305214,0.00003259719,0.000007352394,0.000449482,0.0001126092,0.05571491,0.9405476,0.002205947,0.00008648059],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3112147,0.00002144743,0.6811412,0.001391537,0.0008175861,0.0001102907,0.000009357918,0.0000958962,0.005197989],"genre_scores_gemma":[0.9610575,0.00007084205,0.036744,0.00001887993,0.0002774569,0.000002443332,0.000001160159,0.00001490076,0.001812846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6498428,"threshold_uncertainty_score":0.2638099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1574002811182535,"score_gpt":0.3897056891832829,"score_spread":0.2323054080650294,"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."}}