{"id":"W1988704990","doi":"10.1175/2010jtecha1402.1","title":"The Effect of Radial Velocity Gridding Artifacts on Variationally Retrieved Vertical Velocities","year":2010,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interpolation (computer graphics); Spurious relationship; Linear interpolation; Radar; Simple (philosophy); Meteorology; Computer science; Radial velocity; Geology; Algorithm; Image (mathematics); Physics; Computer vision; Artificial intelligence","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":[0.002186054,0.0004371581,0.0002558532,0.0003478086,0.0002737269,0.000579775,0.0004342069,0.0003001072,0.0005132363],"category_scores_gemma":[0.01337341,0.0002801367,0.0003574573,0.0004543486,0.0003816347,0.0005521196,0.0004351892,0.0003765341,0.00009511359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004275338,"about_ca_system_score_gemma":0.0004602149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006862699,"about_ca_topic_score_gemma":0.005058525,"domain_scores_codex":[0.9991552,0.0002751868,0.00007356438,0.00009721191,0.0003292556,0.00006967181],"domain_scores_gemma":[0.9939091,0.004219998,0.0004568302,0.0008359362,0.0005081764,0.00006990636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001636119,0.0001246294,0.06550094,0.0002651961,0.0002566468,0.0005947805,0.0004440798,0.7023933,0.1200118,0.003885333,0.0005374479,0.1043497],"study_design_scores_gemma":[0.00003605284,0.000170325,0.01978699,0.00002693731,0.00004412764,0.0001765654,0.00007117661,0.9102995,0.06805068,0.0006027333,0.0006992779,0.00003554728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572809,0.0002464723,0.1403733,0.00007811587,0.00006916975,0.00004482922,0.0001824571,0.0006065145,0.001118126],"genre_scores_gemma":[0.965652,0.00008059595,0.03368326,0.00001895897,0.000009565927,0.0000125846,0.0001708686,0.0001244427,0.0002477062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006862699,"threshold_uncertainty_score":0.01364553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005409742190250302,"score_gpt":0.2026596397792612,"score_spread":0.1972498975890109,"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."}}