{"id":"W2892338809","doi":"10.1007/s10686-018-9598-x","title":"A chemical survey of exoplanets with ARIEL","year":2018,"lang":"en","type":"article","venue":"Experimental Astronomy","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":437,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal","funders":"Airbus Defense and Space; UK Space Agency; Horizon 2020 Framework Programme; Agence Nationale de la Recherche; University College London; Science and Technology Facilities Council","keywords":"Exoplanet; Astrobiology; Astronomy; Computer science; Physics; Stars","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":[0.0002810583,0.0002557222,0.0001633712,0.002599837,0.0004628585,0.0003634728,0.0003507621,0.0002107494,0.002656746],"category_scores_gemma":[0.0003823754,0.0001587028,0.0002234089,0.001377104,0.0001421122,0.0005389358,0.0007751244,0.000378156,0.001107114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003129957,"about_ca_system_score_gemma":0.0001584308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007192385,"about_ca_topic_score_gemma":0.01348104,"domain_scores_codex":[0.9998054,0.00001358968,0.00000969789,0.00006362674,0.0000696511,0.00003817675],"domain_scores_gemma":[0.9994965,0.00004094088,0.0001650986,0.00003731121,0.0001293328,0.0001308348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001255974,0.00008921281,0.9478524,0.0001016499,0.00007204238,0.0005476963,0.0009030037,0.00006555801,0.01166872,0.0001789881,0.002948041,0.03544707],"study_design_scores_gemma":[0.000001806761,0.00004898121,0.9864217,0.000008745725,0.000009081678,0.0005855261,0.00039907,0.00007954796,0.0006003445,0.00001919675,0.01182232,0.000003591581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798452,0.001855088,0.0002967702,0.0002033933,0.00002031244,0.00002624394,0.004201214,0.00007297607,0.01347873],"genre_scores_gemma":[0.9777579,0.002154764,0.001423559,0.0004944902,0.00009230318,0.00002734938,0.007612578,0.00004487495,0.01039218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007192385,"threshold_uncertainty_score":0.014301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454935481938995,"score_gpt":0.2418796338737696,"score_spread":0.2273302790543796,"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."}}