{"id":"W3166377847","doi":"","title":"Geochemical Advances in Mercury Science Facilitated by a Landed Mission","year":2020,"lang":"en","type":"article","venue":"Lunar and Planetary Science Conference","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mercury (programming language); Astrobiology; Orbiter; Planet; Terrestrial planet; Geology; Environmental science; Earth science; Astronomy; Physics; Computer science","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":[0.001121013,0.0005208359,0.0002955815,0.001263343,0.0007170109,0.001213594,0.0006894266,0.0008706628,0.004007099],"category_scores_gemma":[0.0008451315,0.0002038168,0.0002237218,0.001565845,0.001388951,0.003016241,0.002629573,0.002088305,0.001336591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507418,"about_ca_system_score_gemma":0.001093556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584384,"about_ca_topic_score_gemma":0.005567532,"domain_scores_codex":[0.9995468,0.00006142818,0.00001347656,0.0001275819,0.0002009791,0.00004961638],"domain_scores_gemma":[0.9995763,0.00005898562,0.00008143254,0.00006980229,0.0001389507,0.00007463268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003799583,0.0001943751,0.0452257,0.002976224,0.0001419006,0.0008245588,0.001200393,0.003375359,0.1073758,0.09495678,0.04988968,0.6934592],"study_design_scores_gemma":[0.00003140271,0.0002620025,0.05397546,0.0005752312,0.00005802724,0.000502797,0.0005615162,0.002661126,0.01632275,0.02682701,0.8981395,0.00008308182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2128166,0.4037907,0.04963098,0.107497,0.00451762,0.0002208083,0.008469613,0.001887883,0.2111688],"genre_scores_gemma":[0.7536395,0.1108774,0.1009167,0.00916675,0.005817268,0.0001135668,0.004058612,0.0004222966,0.01498787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004007099,"threshold_uncertainty_score":0.01340508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670134665899018,"score_gpt":0.2375189014775308,"score_spread":0.2208175548185407,"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."}}