{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00178207,0.001298247,0.0009696702,0.002802295,0.003064779,0.005239607,0.001928804,0.001858092,0.5087796],"category_scores_gemma":[0.01072,0.0004154168,0.0008227516,0.002508059,0.0008511356,0.004304515,0.002670532,0.003382953,0.3884856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002315192,"about_ca_system_score_gemma":0.003347258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00349613,"about_ca_topic_score_gemma":0.003449206,"domain_scores_codex":[0.9984983,0.0002220011,0.0001203264,0.0003193945,0.0006976816,0.0001423388],"domain_scores_gemma":[0.9952796,0.0006490197,0.0001913614,0.0004631232,0.002735228,0.0006816396],"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":[0.00003877676,0.00001914749,0.0001248018,0.000155322,0.000003436481,0.00006473697,0.0001304347,0.00007111369,0.0001301369,0.00505432,0.950967,0.04324076],"study_design_scores_gemma":[0.000003299955,0.00001300121,0.0001858166,0.0001066668,0.000001683932,0.00006867397,0.0001047904,0.00002618687,0.00006581262,0.00152125,0.9978979,0.000005000659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002171371,0.01317621,0.009847568,0.0294874,0.1399706,0.0008737943,0.01903694,0.003085215,0.7823509],"genre_scores_gemma":[0.009154567,0.008474329,0.005025554,0.008134568,0.01798999,0.0005509402,0.02173588,0.00162309,0.9273112],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4912204,"threshold_uncertainty_score":0,"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."}}