{"id":"W2794171999","doi":"10.22323/1.108.0024","title":"Detecting a small Kuiper Belt object using archival data of HST's Fine Guidance Sensor","year":2011,"lang":"en","type":"article","venue":"","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Occultation; Physics; Astronomy; Solar System; Asteroid; Event (particle physics); Stars; Object (grammar); Accretion (finance); High resolution; Remote sensing; Astrophysics; Computer science; Geology; 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":[0.0002048156,0.0001564101,0.0001357437,0.0007885901,0.0003307589,0.000414518,0.0002788581,0.0003713452,0.001689664],"category_scores_gemma":[0.0005287898,0.00012937,0.0001343804,0.0005323386,0.0001349678,0.0003546021,0.0003676756,0.0002181919,0.0007136069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538989,"about_ca_system_score_gemma":0.0002263772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009314631,"about_ca_topic_score_gemma":0.04167696,"domain_scores_codex":[0.999894,0.000005278694,0.000005802302,0.00003344855,0.00004139177,0.00002000883],"domain_scores_gemma":[0.9997227,0.00002594009,0.00004721715,0.00006757864,0.0000855839,0.000050996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004622834,0.0002413525,0.7219829,0.0001713433,0.000105695,0.0006046042,0.001029055,0.001252574,0.1389321,0.0009134411,0.01165623,0.1226485],"study_design_scores_gemma":[0.00001639593,0.000079027,0.9752488,0.0000157077,0.00003769906,0.0003154792,0.0003839726,0.004643958,0.010337,0.0002648605,0.008638798,0.00001828625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817648,0.0001676651,0.003432204,0.00007896934,0.00002809682,0.00006618075,0.005562248,0.0004656085,0.008434293],"genre_scores_gemma":[0.9745852,0.0001151435,0.01349492,0.00007535204,0.00002819059,0.00003066849,0.008287804,0.00002574922,0.003356881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009314631,"threshold_uncertainty_score":0.01852083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107823302886069,"score_gpt":0.2629176030171573,"score_spread":0.1550943001310883,"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."}}