{"id":"W4402859663","doi":"10.22541/essoar.172554817.75111342/v2","title":"Why Mars is Red - Ferrihydrite Detection in Martian Dust and  Implications for Early Mars","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Centre National d’Etudes Spatiales; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Aeronautics and Space Administration; Ministère des relations internationales et de la Francophonie; University of Bern; Research Manitoba; National Science Foundation","keywords":"Mars Exploration Program; Astrobiology; Martian; Ferrihydrite; Environmental science; Atmosphere of Mars; Physics; Chemistry","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":[0.0005727843,0.0003262908,0.0003200703,0.0007566556,0.001088747,0.00169187,0.0006821527,0.001049702,0.001819984],"category_scores_gemma":[0.0006924929,0.0002672437,0.0002829174,0.000560664,0.0008222869,0.00156692,0.0005784108,0.0005768008,0.0005452031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008914104,"about_ca_system_score_gemma":0.0001833848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004922912,"about_ca_topic_score_gemma":0.005177333,"domain_scores_codex":[0.9996848,0.00002798795,0.00001358189,0.0001364952,0.00006270733,0.00007440547],"domain_scores_gemma":[0.9997221,0.00003807726,0.00008468547,0.00002276053,0.0000823237,0.00005005166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004975073,0.00009699138,0.7220407,0.0005319717,0.000145134,0.0009093909,0.003169646,0.0007949997,0.2002012,0.001769537,0.00369429,0.06614874],"study_design_scores_gemma":[0.000009768009,0.0001082845,0.9650496,0.00007764195,0.00004859186,0.0006066564,0.002983456,0.001408686,0.01060635,0.001771473,0.01729873,0.00003075061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845622,0.007978315,0.001075591,0.001932951,0.00009839312,0.000009926526,0.0004817354,0.0001501816,0.003710587],"genre_scores_gemma":[0.9970606,0.001202264,0.0007238818,0.0002515415,0.00007434603,0.000004510882,0.0002503972,0.0000223958,0.0004100285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004922912,"threshold_uncertainty_score":0.009788573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223260864950113,"score_gpt":0.253826049884444,"score_spread":0.2315934412349428,"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."}}