{"id":"W4288697545","doi":"10.1002/cem.3438","title":"Application of chemometrics on Raman spectra from Mars: Recent advances and future perspectives","year":2022,"lang":"en","type":"article","venue":"Journal of Chemometrics","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Horizon 2020 Framework Programme; Ministerio de Economía y Competitividad; European Commission; H2020 European Research Council; National Aeronautics and Space Administration","keywords":"Mars Exploration Program; Martian; Chemometrics; Raman spectroscopy; Exploration of Mars; Remote sensing; Computer science; Astrobiology; Spectrometer; Environmental science; Earth science; Systems engineering; Geology; Machine learning; Engineering; Physics; Optics","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":[0.008004975,0.0009051799,0.0008808954,0.003631193,0.0003921162,0.00272632,0.001451104,0.000931257,0.001846467],"category_scores_gemma":[0.005875412,0.0003808035,0.0009281111,0.005044019,0.001603932,0.002503835,0.001566466,0.001356234,0.0006761454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009049743,"about_ca_system_score_gemma":0.0008873994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816016,"about_ca_topic_score_gemma":0.001288855,"domain_scores_codex":[0.9979357,0.0006090157,0.0001060137,0.0004370064,0.0008272098,0.00008523219],"domain_scores_gemma":[0.9931766,0.002977666,0.0006199218,0.0005089315,0.00245611,0.0002607713],"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":[0.0001292545,0.0002561602,0.01867636,0.002521421,0.000281404,0.0001187586,0.0002635914,0.009664524,0.01849272,0.01398073,0.005754996,0.9298601],"study_design_scores_gemma":[0.00006595335,0.001208836,0.1017735,0.002977788,0.0005382342,0.00187849,0.002855158,0.3126028,0.106579,0.0768503,0.3919352,0.0007346504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1311174,0.5573074,0.2694535,0.014132,0.001156193,0.0002220698,0.00102172,0.001533409,0.02405638],"genre_scores_gemma":[0.5149167,0.2572719,0.2187422,0.001610071,0.002113298,0.0001573415,0.001249197,0.000261948,0.003677336],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008004975,"threshold_uncertainty_score":0.04233485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00926084730607622,"score_gpt":0.2327335260278653,"score_spread":0.2234726787217891,"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."}}