{"id":"W46923107","doi":"10.1007/978-3-540-49350-1_108","title":"VLBI2010: A Vision for Future Geodetic VLBI","year":2008,"lang":"en","type":"book-chapter","venue":"International Association of Geodesy symposia","topic":"GNSS positioning and interference","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dominion Astrophysical Observatory; Natural Resources Canada","funders":"","keywords":"Very-long-baseline interferometry; Geodetic datum; Geodesy; Geology; Computer science; Remote sensing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014597,0.0003162111,0.0003803299,0.000246638,0.00006985312,0.00005195624,0.0003485098,0.0005517631,0.0001959387],"category_scores_gemma":[0.00004261555,0.0003551577,0.0003257215,0.000026047,0.00002982183,0.0001647983,0.00003661397,0.0003291506,0.0001343637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007212385,"about_ca_system_score_gemma":0.00004622405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008483788,"about_ca_topic_score_gemma":0.0000121992,"domain_scores_codex":[0.9983247,0.000009697362,0.0005898117,0.0002731175,0.0005885398,0.0002141518],"domain_scores_gemma":[0.9985773,0.0001610772,0.0004079082,0.0001945325,0.0005974725,0.00006172578],"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":[0.0001819264,0.0001877578,0.0007172893,0.0004631419,0.003359996,0.00001054247,0.001594014,0.009362129,0.005509327,0.2750773,0.6912894,0.01224714],"study_design_scores_gemma":[0.0008251988,0.0001752937,0.001618878,0.0006373135,0.0001221456,0.00001939565,0.00001194313,0.01190458,0.000807084,0.004611399,0.9786537,0.0006130325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002183677,0.001230348,0.002825479,0.001468973,0.006652924,0.0005902208,0.001219179,0.0004157483,0.9834135],"genre_scores_gemma":[0.3271676,0.003250517,0.001495016,0.0001935736,0.002485245,0.00009296944,0.001575176,0.0002065577,0.6635333],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3249839,"threshold_uncertainty_score":0.99989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004889229163114944,"score_gpt":0.2076943891329777,"score_spread":0.2028051599698628,"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."}}