{"id":"W6948025735","doi":"10.48550/arxiv.0711.3455","title":"VLBI observations of weak extragalactic radio sources for the alignment of the future GAIA frame with the ICRF","year":2007,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Very-long-baseline interferometry; Astrometry; Reference frame; Frame (networking); Consistency (knowledge bases); Quasar; Space (punctuation)","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":[0.0008358482,0.0002237058,0.0003262463,0.002029606,0.0004882358,0.0006946533,0.0005335494,0.0003158245,0.002251502],"category_scores_gemma":[0.0009894501,0.0001738515,0.0002044299,0.001647148,0.0001263625,0.0004417594,0.0006874963,0.0004059857,0.0008778709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005795838,"about_ca_system_score_gemma":0.000768279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01578951,"about_ca_topic_score_gemma":0.03575218,"domain_scores_codex":[0.9997266,0.0000698008,0.00001311429,0.00004175663,0.00007588071,0.00007277126],"domain_scores_gemma":[0.999429,0.00004454403,0.0001581152,0.000123638,0.0001139737,0.0001305701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006651325,0.0004633071,0.6843734,0.0001590556,0.0001850504,0.000287286,0.0008132069,0.003832329,0.09810948,0.005113103,0.01540918,0.1905894],"study_design_scores_gemma":[0.00003754136,0.00004266922,0.9845133,0.00001880145,0.0000383742,0.00006623749,0.0001301259,0.002103268,0.003288404,0.0005077473,0.009241509,0.00001196092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607074,0.0009817744,0.01773448,0.0004733852,0.00004735055,0.0002493183,0.007099367,0.0004040792,0.01230283],"genre_scores_gemma":[0.9331053,0.0003286357,0.04489866,0.0001234693,0.00004967504,0.0001755231,0.01886754,0.00008873989,0.002362406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578951,"threshold_uncertainty_score":0.0313952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07187366727010738,"score_gpt":0.1882581404390382,"score_spread":0.1163844731689308,"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."}}