{"id":"W4297953605","doi":"10.1109/aero53065.2022.9843625","title":"Recent Advances in the Pan-STARRS Search for Near-Earth Objects","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Aerospace Conference (AERO)","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Astrobiology; Physics","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":[0.005130997,0.001167146,0.00105009,0.003473376,0.0007444169,0.002451318,0.001875881,0.001002995,0.009007927],"category_scores_gemma":[0.00336481,0.0006772449,0.000941433,0.002878612,0.001094826,0.004390066,0.002114838,0.001538157,0.004653829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752763,"about_ca_system_score_gemma":0.00126995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01006607,"about_ca_topic_score_gemma":0.01754627,"domain_scores_codex":[0.9981422,0.0002061647,0.00007271319,0.0004956493,0.0008962271,0.0001869663],"domain_scores_gemma":[0.9957313,0.0005882469,0.0003219812,0.00040613,0.002336999,0.0006153781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005957501,0.0002577219,0.03961658,0.002184481,0.0002455644,0.000306398,0.0006667114,0.001979493,0.07341246,0.007193304,0.05683074,0.8167108],"study_design_scores_gemma":[0.00009705403,0.0004564215,0.05607337,0.0004390624,0.000283068,0.001348012,0.0006073862,0.009769614,0.03262367,0.004665649,0.8934662,0.0001704375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1737273,0.2973674,0.2494393,0.02423551,0.003089639,0.0008330057,0.01110523,0.02616222,0.2140404],"genre_scores_gemma":[0.2723883,0.08939387,0.5527263,0.006442179,0.002531435,0.0003228064,0.02434131,0.002180533,0.04967323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01006607,"threshold_uncertainty_score":0.03013456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518116548276016,"score_gpt":0.2654165535669374,"score_spread":0.2402353880841773,"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."}}