{"id":"W3005436789","doi":"10.3847/1538-3881/ab6663","title":"orbitize!: A Comprehensive Orbit-fitting Software Package for the High-contrast Imaging Community","year":2020,"lang":"en","type":"article","venue":"The Astronomical Journal","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Python (programming language); Computer science; Documentation; Software; Markov chain Monte Carlo; Source code; Orbit (dynamics); Programming language; Algorithm; Software engineering; Computer graphics (images); 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003379927,0.000230451,0.0003294853,0.00001544746,0.001703105,0.000216908,0.0005967912,0.00001988877,0.0002045005],"category_scores_gemma":[0.00007301741,0.0001340108,0.0002399634,0.00005714357,0.0002106832,0.0001027903,0.0001900664,0.001078797,0.00004283417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002665947,"about_ca_system_score_gemma":0.00005623527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001913122,"about_ca_topic_score_gemma":0.000002989047,"domain_scores_codex":[0.9986597,0.0002565336,0.0003554126,0.0001442177,0.0001399755,0.0004441398],"domain_scores_gemma":[0.996496,0.002747229,0.0002458601,0.0002563833,0.0001002551,0.0001543385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002822299,0.00006775987,0.951663,0.00001274797,0.0007770073,0.000001741898,0.00253001,0.0009684753,0.0002040958,0.0005105834,0.01105578,0.03192662],"study_design_scores_gemma":[0.004130927,0.0002130653,0.9617086,0.0000675436,0.0006371571,0.00004636894,0.01646411,0.003677028,0.0007164772,0.003427554,0.008395439,0.0005157031],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8329336,0.0005879829,0.1491975,0.01527693,0.0006156369,0.0005076158,0.00008177519,0.0000490553,0.0007499003],"genre_scores_gemma":[0.9949986,0.000005032955,0.001731932,0.0006956107,0.002491683,0.0000136667,0.00002291873,0.00002562214,0.00001494256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.162065,"threshold_uncertainty_score":0.9995965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025690234820634,"score_gpt":0.2413050195905329,"score_spread":0.2156147847698989,"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."}}