{"id":"W6947985714","doi":"10.48550/arxiv.2012.14068","title":"Contrast and Temperature Dependence of Multi-Epoch High-Resolution Cross-Correlation Exoplanet Spectroscopy","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Exoplanet; Planet; Population; Spectroscopy; Instrumentation (computer programming); Contrast (vision); Hot Jupiter; Atmospheric composition","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":[0.0007580023,0.0002917931,0.000273207,0.0003704788,0.000426989,0.0004923792,0.0006095852,0.0004602302,0.0009413267],"category_scores_gemma":[0.002755939,0.0002383223,0.0005595338,0.0003490404,0.0004223325,0.0007024324,0.0005072114,0.0005958646,0.0001116369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007965724,"about_ca_system_score_gemma":0.0004785463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01023277,"about_ca_topic_score_gemma":0.008073527,"domain_scores_codex":[0.9998005,0.00004090966,0.000008591288,0.00004624765,0.00005264644,0.00005108901],"domain_scores_gemma":[0.9989998,0.0004977575,0.000123336,0.0001100555,0.0001826848,0.00008641533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001613431,0.0001139059,0.04091807,0.00004588519,0.0000975865,0.0001445315,0.00008731178,0.9305326,0.02038238,0.002093803,0.0003584056,0.005064158],"study_design_scores_gemma":[0.00001604233,0.00007525327,0.01635608,0.000004505418,0.0000174573,0.00004603743,0.0000232266,0.9763523,0.006457459,0.0004053443,0.0002304226,0.00001582374],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899815,0.0000839194,0.007708056,0.00007722845,0.000009303912,0.0000206044,0.0001315144,0.00009196364,0.001895879],"genre_scores_gemma":[0.9972715,0.00003472389,0.002259495,0.00001985282,0.000002725576,0.00001726854,0.0001281174,0.00002674507,0.0002395453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01023277,"threshold_uncertainty_score":0.0203464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05018633087661207,"score_gpt":0.2048383374508642,"score_spread":0.1546520065742521,"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."}}