{"id":"W7060572114","doi":"","title":"Preface","year":2014,"lang":"en","type":"article","venue":"Scholarly Commons (University of Pennsylvania)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Applied linguistics; Doctoral dissertation; Style (visual arts); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003242502,0.00009412007,0.0001640428,0.0001242744,0.0002400764,0.00007246985,0.0005864974,0.00003478654,0.1036819],"category_scores_gemma":[0.00001717709,0.0001185215,0.00009290954,0.0002321408,0.0001072567,0.0001955033,0.000336273,0.0002781327,0.0003216549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000607881,"about_ca_system_score_gemma":0.00005317335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361875,"about_ca_topic_score_gemma":0.0004596236,"domain_scores_codex":[0.9990877,0.0001208123,0.00009144881,0.0001992259,0.0002901105,0.0002107153],"domain_scores_gemma":[0.9990929,0.00009665198,0.00008046026,0.0004358678,0.0001638863,0.0001302862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000847776,0.000482077,0.1568429,0.00004292383,0.0001233259,0.000005065102,0.001024234,0.00001373947,0.0274389,0.1113227,0.04530975,0.6573097],"study_design_scores_gemma":[0.001802878,0.0002463322,0.1694129,0.00003240932,0.00005162538,5.226183e-7,0.00320625,0.001578977,0.0006187924,0.002075864,0.8206599,0.0003136183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4955305,0.00001058062,0.0080247,0.0017007,0.00004320977,0.0001650747,0.00002079681,0.00002829801,0.4944762],"genre_scores_gemma":[0.9772882,0.000001428092,0.001920627,0.00001492567,0.00003218113,3.094515e-7,0.00001460268,0.000006331187,0.02072136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7753501,"threshold_uncertainty_score":0.8971375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01153089957875676,"score_gpt":0.2091752647758331,"score_spread":0.1976443651970764,"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."}}