{"id":"W3110646367","doi":"10.1093/mnras/staa3739","title":"Planet Hunters TESS II: findings from the first two years of <i>TESS</i>","year":2020,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Horizon 2020 Framework Programme; Fonds Wetenschappelijk Onderzoek; Science and Technology Facilities Council; European Commission; Brinson Foundation; Gordon and Betty Moore Foundation; H2020 European Research Council; National Aeronautics and Space Administration; National Science Foundation","keywords":"Planet; Exoplanet; Transit (satellite); Physics; Astronomy; Cluster analysis; Satellite; Artificial intelligence; Computer science; Public transport; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001906776,0.0002075375,0.000352058,0.003610727,0.001054933,0.001459256,0.0005028603,0.0007117745,0.002379521],"category_scores_gemma":[0.006957273,0.0002360487,0.0004740461,0.002554713,0.0006374406,0.0009890449,0.00312456,0.0007416392,0.001324143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840562,"about_ca_system_score_gemma":0.0008611013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225249,"about_ca_topic_score_gemma":0.03925299,"domain_scores_codex":[0.9988369,0.0001336661,0.00006651035,0.000257677,0.0004613094,0.0002438848],"domain_scores_gemma":[0.9915419,0.001330727,0.002016246,0.001032404,0.002582534,0.001496146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004992157,0.0002242055,0.9155545,0.0002417788,0.000114907,0.001048934,0.008037869,0.000558126,0.00472897,0.0006586053,0.02106621,0.04726671],"study_design_scores_gemma":[0.000008336833,0.0001443775,0.9737666,0.00005594078,0.00003173584,0.0004198249,0.004026738,0.0005325203,0.001468117,0.000157227,0.01936708,0.00002146495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807336,0.0002848698,0.0009450137,0.0005483507,0.00005250003,0.00007350876,0.008696792,0.0002007489,0.008464612],"genre_scores_gemma":[0.9740795,0.0002628076,0.00153284,0.0003598823,0.0001153215,0.00008225788,0.01807347,0.0001574002,0.005336593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02225249,"threshold_uncertainty_score":0.04424596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869929295114633,"score_gpt":0.1902281302304871,"score_spread":0.1815288372793407,"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."}}