{"id":"W3099963724","doi":"","title":"Cloud Atlas: High-contrast Time-resolved Observations of Planetary-mass Companions","year":2019,"lang":"en","type":"article","venue":"CaltechAUTHORS (California Institute of Technology)","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Atlas (anatomy); Contrast (vision); Cloud computing; Astronomy; Physics; Astrobiology; Astrophysics; Geology; Computer science; Optics; Paleontology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001690754,0.0003455094,0.0008355235,0.0003519124,0.000154423,0.00001155858,0.0005562957,0.0002684256,0.0004955099],"category_scores_gemma":[0.00005161496,0.0003210573,0.0001752772,0.0006406277,0.0005146873,0.0001159711,0.0001369572,0.0004323083,0.0004738501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002694081,"about_ca_system_score_gemma":0.00009355357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003159395,"about_ca_topic_score_gemma":0.00002024989,"domain_scores_codex":[0.9981191,0.00002446176,0.0007316423,0.000423146,0.0002556051,0.0004460924],"domain_scores_gemma":[0.9984935,0.000107536,0.0004281623,0.0007020776,0.0001770336,0.0000916998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009067034,0.0002469282,0.9137692,0.0001058388,0.0005965399,0.000004619636,0.00005578207,0.00122465,0.01204089,0.06625593,0.003196672,0.002412251],"study_design_scores_gemma":[0.01078471,0.002034676,0.2111659,0.001346523,0.001844774,0.00003529375,0.001190818,0.01398862,0.1789068,0.08077192,0.494282,0.003647932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800895,0.0002899649,0.005330679,0.001156313,0.001351839,0.0008522753,0.001195309,0.0002570674,0.009476985],"genre_scores_gemma":[0.9919536,0.00001861697,0.00694816,0.0000274961,0.0001481928,0.00002765765,0.0005631471,0.00002639737,0.000286747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7026033,"threshold_uncertainty_score":0.9999241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220928571659769,"score_gpt":0.2122557822067569,"score_spread":0.2000464964901592,"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."}}