{"id":"W1473666204","doi":"10.1088/1742-6596/1067/1/011001","title":"9th International Particle Accelerator Conference, IPAC18","year":2018,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ninth; Library science; Engineering; Political science; Physics; Computer science","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":[0.002557145,0.001340162,0.0007911149,0.002252867,0.002169377,0.007084676,0.001750615,0.002859397,0.4651412],"category_scores_gemma":[0.002856576,0.0006010901,0.0008434175,0.001733087,0.0004588875,0.002221126,0.003036182,0.004323395,0.3706144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197381,"about_ca_system_score_gemma":0.003055781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002388916,"about_ca_topic_score_gemma":0.004672078,"domain_scores_codex":[0.9978679,0.0001638084,0.00008008433,0.0003070532,0.001246318,0.0003347999],"domain_scores_gemma":[0.9976072,0.00009710242,0.00007312499,0.0001952914,0.001390687,0.0006365145],"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":[0.00005721765,0.00003454316,0.0001020642,0.00006745046,0.00000397239,0.0000316498,0.000009355565,0.00005182912,0.0003398123,0.001091455,0.9681627,0.030048],"study_design_scores_gemma":[0.00001016285,0.00002554705,0.0002295013,0.0000371125,0.000002079115,0.00003838169,0.000008457446,0.00004055809,0.0001346869,0.0002903313,0.9991788,0.000004247345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001294681,0.009981417,0.006079721,0.01070576,0.09207904,0.0008983668,0.008742508,0.004479324,0.8657392],"genre_scores_gemma":[0.005787256,0.006446174,0.002983602,0.002800689,0.01849093,0.0005942853,0.01368248,0.001719467,0.9474952],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4651412,"threshold_uncertainty_score":0.7629111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02635833968555959,"score_gpt":0.2465999121552454,"score_spread":0.2202415724696858,"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."}}