{"id":"W7100562602","doi":"","title":"Densification of the International Celestial Reference Frame: Results of EVN+ Observations","year":2004,"lang":"en","type":"article","venue":"","topic":"GNSS positioning and interference","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Declination; Very-long-baseline interferometry; Sky; Right ascension; Astrometry; Reference frame; Quasar","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":[],"consensus_categories":[],"category_scores_codex":[0.001621707,0.0002930693,0.0004855694,0.0005154829,0.0003661436,0.0005582753,0.0002761697,0.0001826915,0.0008266774],"category_scores_gemma":[0.001562212,0.0001806386,0.0002028943,0.0007839481,0.0002600481,0.0004235657,0.0008149981,0.0002669776,0.0005228978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005853767,"about_ca_system_score_gemma":0.0002333507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01264245,"about_ca_topic_score_gemma":0.0194684,"domain_scores_codex":[0.9993064,0.0001521152,0.00004163805,0.0002273533,0.0001898409,0.00008250983],"domain_scores_gemma":[0.9986936,0.0001678431,0.0002314173,0.0004563054,0.0003619659,0.00008883631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001329373,0.0001073269,0.8357131,0.000130124,0.0001550622,0.0002641004,0.001066385,0.01301247,0.02366419,0.0008890321,0.004451975,0.1192169],"study_design_scores_gemma":[0.00002871686,0.00007666275,0.9869441,0.00001147701,0.00003454726,0.0001788224,0.0001963607,0.004123464,0.002896097,0.0001172816,0.005376155,0.00001640342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928905,0.0002037997,0.002545694,0.00002950346,0.000008547824,0.00001326143,0.001964302,0.00009027411,0.002254141],"genre_scores_gemma":[0.9870242,0.00006748768,0.003927365,0.00001588952,0.000009828567,0.00001034815,0.008021373,0.00004520089,0.0008781867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01264245,"threshold_uncertainty_score":0.02513772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908969970794377,"score_gpt":0.2262372222615994,"score_spread":0.1871475225536557,"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."}}