{"id":"W2918955152","doi":"10.18429/jacow-ipac2017-mopik056","title":"On the Ariel Pre-Separator","year":2017,"lang":"en","type":"article","venue":"JACOW","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002782299,0.0004131215,0.0004432787,0.0004083149,0.0005311883,0.0007083511,0.0006998919,0.0004847756,0.006821551],"category_scores_gemma":[0.0003335986,0.0002878944,0.0003859045,0.0004251911,0.0002615464,0.000826323,0.0006940263,0.00062733,0.002231041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007518378,"about_ca_system_score_gemma":0.001077966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00206428,"about_ca_topic_score_gemma":0.003058816,"domain_scores_codex":[0.999662,0.00001760187,0.000006751383,0.0000500434,0.0001991807,0.00006445008],"domain_scores_gemma":[0.9997526,0.00003340795,0.00003919181,0.00004517777,0.0001000805,0.00002949414],"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":[0.00194725,0.0001606891,0.005086428,0.0003479926,0.00006761253,0.0005124857,0.0002852888,0.05580196,0.7623119,0.02098414,0.004264146,0.1482301],"study_design_scores_gemma":[0.0002661246,0.001577099,0.01943402,0.00005509544,0.00009199697,0.000553961,0.0001733201,0.1778309,0.7318876,0.002837161,0.06516259,0.0001302244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6995049,0.0005150656,0.2421871,0.0004408064,0.0001180243,0.0001579183,0.0007433989,0.004287143,0.05204566],"genre_scores_gemma":[0.7852106,0.0003564439,0.1631797,0.0002809079,0.00004073665,0.0001983136,0.001212842,0.0004485395,0.04907204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006821551,"threshold_uncertainty_score":0.02282035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251785699605822,"score_gpt":0.2255432887542713,"score_spread":0.2130254317582131,"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."}}