{"id":"W6976963691","doi":"10.6084/m9.figshare.24995255.v2","title":"Urban Calgary GNSS Data","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GNSS applications; Weighting; Global Positioning System; Scheme (mathematics); Kinematics","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":[0.0006085772,0.002144816,0.001187256,0.003005379,0.0008212731,0.001390576,0.002474122,0.001706276,0.02373475],"category_scores_gemma":[0.002368889,0.0005954939,0.0007726387,0.008064779,0.0004824761,0.0006376763,0.001456086,0.001466698,0.03742676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063813,"about_ca_system_score_gemma":0.002742152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2581134,"about_ca_topic_score_gemma":0.3847616,"domain_scores_codex":[0.999305,0.00006751633,0.00004508423,0.000171776,0.0002507403,0.000159884],"domain_scores_gemma":[0.9987016,0.000130925,0.0000660687,0.0003472305,0.000641724,0.000112457],"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":[0.00009764104,0.00003573146,0.00142957,0.0002618443,0.00003580378,0.00005313737,0.00003644948,0.002540973,0.0003718772,0.0003646685,0.9875396,0.007232745],"study_design_scores_gemma":[0.0003109484,0.00002616931,0.01597885,0.0002398951,0.00003494545,0.00005935465,0.0002088073,0.004371307,0.001521661,0.001213884,0.9759722,0.00006192667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008954601,0.00008985092,0.0001628157,0.00005253262,0.00004348824,0.00002059793,0.9967194,0.0007006996,0.001315117],"genre_scores_gemma":[0.001057191,0.00004168397,0.000433915,0.00002144748,0.000005157713,0.00003236308,0.9976768,0.00006378441,0.000667711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7418866,"threshold_uncertainty_score":0.5132221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06987271325208513,"score_gpt":0.2748671047500579,"score_spread":0.2049943914979728,"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."}}