{"id":"W4283827101","doi":"10.1088/1757-899x/1244/1/011001","title":"Preface","year":2022,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Advanced Technology in Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerospace; Presentation (obstetrics); Automotive industry; Library science; Engineering; Face (sociological concept); Aeronautics; Political science; Sociology; Computer science; Social science; Medicine","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":[0.0004136817,0.0001049622,0.0001140901,0.0001521444,0.0005555056,0.000246041,0.001214696,0.00001983191,0.00005250135],"category_scores_gemma":[0.00006914359,0.0001116805,0.000007024772,0.0007149675,0.0002422614,0.001044634,0.001249661,0.0001012213,0.000008163189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006663312,"about_ca_system_score_gemma":0.0001280952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006077713,"about_ca_topic_score_gemma":4.862102e-7,"domain_scores_codex":[0.9988637,0.00000900181,0.0001408695,0.0003765906,0.0002962998,0.0003135158],"domain_scores_gemma":[0.9993343,0.00001518447,0.00004681655,0.0004552339,0.00008322935,0.00006524462],"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":[8.045536e-7,0.000004098256,0.000002883478,0.000004272762,9.011515e-7,0.000001838833,0.0001559252,0.0004736233,0.6637534,0.3340379,0.00001269601,0.001551582],"study_design_scores_gemma":[0.0001208252,0.0001139272,0.001042427,0.000008396026,0.0000026556,0.0002116227,0.0002524275,0.008455284,0.9595926,0.009637128,0.02021223,0.0003504737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128003,0.00006096928,0.181867,0.002548556,0.0008195524,0.000252253,0.00001482926,0.0008772474,0.0007593004],"genre_scores_gemma":[0.9636448,0.00001902353,0.03600122,0.00006475449,0.00001294882,0.0001685049,8.882122e-7,0.000005511504,0.00008236612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3244008,"threshold_uncertainty_score":0.4554199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148650260534457,"score_gpt":0.216764872319203,"score_spread":0.2052783697138584,"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."}}