{"id":"W4248348251","doi":"10.1088/1757-899x/853/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Library science; Control (management); Political science; Engineering ethics; Event (particle physics); Engineering management; Engineering; Management; Artificial intelligence; 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":[0.0001893756,0.0001821116,0.0002211013,0.00007209318,0.00009718891,0.0003855311,0.0002534064,0.00005062858,0.0001102167],"category_scores_gemma":[0.00005030107,0.0001658525,0.00001259156,0.0002328346,0.0001303713,0.0006946026,0.0000575889,0.00007950674,0.00004805449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002533077,"about_ca_system_score_gemma":0.00004321594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001064768,"about_ca_topic_score_gemma":8.031362e-7,"domain_scores_codex":[0.9989736,0.000004847883,0.0002015943,0.0002416877,0.0002117161,0.0003665533],"domain_scores_gemma":[0.9995733,0.000009028408,0.0000189153,0.000134785,0.00006054151,0.0002034152],"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":[0.000003913639,9.857328e-7,0.000003258432,0.0002621605,0.000005854732,0.000003732344,0.0005347655,0.006617075,0.9905665,0.001120086,0.00009464903,0.0007870541],"study_design_scores_gemma":[0.00008633722,0.00004068023,0.0004325148,0.00005579104,0.000004207296,0.00002078416,0.0001511963,0.008577579,0.9823457,0.00002082419,0.008012139,0.0002522223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940529,0.0001322098,0.0007483033,0.0003030916,0.0008902814,0.0001352401,0.00001124044,0.0006571453,0.00306954],"genre_scores_gemma":[0.9992449,0.0001253482,0.0003411995,0.00005222114,0.000146603,0.00001464256,0.000001600405,0.00002098907,0.00005246933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00822074,"threshold_uncertainty_score":0.6763267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681273679551922,"score_gpt":0.1889685619409677,"score_spread":0.1721558251454485,"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."}}