{"id":"W6966727343","doi":"10.48550/arxiv.1504.04877","title":"An Overview of the 2014 ALMA Long Baseline Campaign","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Baseline (sea); Coherence (philosophical gambling strategy); Quasar; Very-long-baseline interferometry; Submillimeter Array; Millimeter","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":[0.003396204,0.0005902885,0.0003864247,0.00259598,0.001118286,0.001671608,0.00083599,0.0005153691,0.01375664],"category_scores_gemma":[0.002194535,0.0003172205,0.0002812208,0.0028615,0.0002372749,0.000852721,0.001033084,0.0006177615,0.007796112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002011944,"about_ca_system_score_gemma":0.00222332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02411967,"about_ca_topic_score_gemma":0.03289685,"domain_scores_codex":[0.9983909,0.0002811629,0.00009564964,0.0003893308,0.0006386261,0.000204258],"domain_scores_gemma":[0.9979877,0.0001648928,0.0002293016,0.000384281,0.001062127,0.0001716902],"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":[0.001529911,0.0007082616,0.1251089,0.001257085,0.0003062776,0.0003749701,0.001254547,0.007088438,0.05229869,0.009361831,0.3152846,0.4854263],"study_design_scores_gemma":[0.00008451368,0.000306204,0.1655178,0.0001356882,0.00006493604,0.0001133244,0.0002239489,0.003284574,0.006262196,0.001051524,0.8228853,0.00006992646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.2855244,0.01364234,0.09553584,0.004629366,0.002823832,0.004276882,0.3242836,0.01413914,0.2551447],"genre_scores_gemma":[0.3862026,0.003792216,0.1317594,0.002734642,0.002372907,0.003834706,0.4077935,0.002768558,0.05874151],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02411967,"threshold_uncertainty_score":0.04795855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207196865007499,"score_gpt":0.2392432120618474,"score_spread":0.1185235255610975,"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."}}