{"id":"W4386301124","doi":"10.1029/2023ea003005","title":"Comparison of Automated Crater Catalogs for Mars From Benedix et al. (2020) and Lee and Hogan (2021)","year":2023,"lang":"en","type":"article","venue":"Earth and Space Science","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Impact crater; Mars Exploration Program; Hogan; Computer science; Geology; Artificial neural network; Ground truth; Artificial intelligence; Remote sensing; Astrobiology; Physics; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002331904,0.0006601291,0.0005264364,0.00792502,0.0007193386,0.001403926,0.001161482,0.0007035777,0.004860498],"category_scores_gemma":[0.006674528,0.0003238472,0.0008762146,0.004118751,0.0003319444,0.001212427,0.001916896,0.0005500587,0.00249328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007674294,"about_ca_system_score_gemma":0.001064932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02223105,"about_ca_topic_score_gemma":0.03712202,"domain_scores_codex":[0.9987078,0.0001860834,0.0001199212,0.0002782457,0.0005893401,0.0001187106],"domain_scores_gemma":[0.9947838,0.0007857238,0.0004517468,0.001145253,0.00245657,0.0003770307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002171593,0.0005569571,0.3149889,0.001328544,0.001392785,0.0007666053,0.0006439323,0.03577902,0.008608137,0.002907438,0.2352185,0.3956375],"study_design_scores_gemma":[0.0004837094,0.0003884684,0.7277997,0.0003427339,0.0003123006,0.000889375,0.0007852803,0.07887862,0.01415614,0.002168083,0.1736122,0.0001834979],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.75302,0.002621755,0.01276553,0.0009828488,0.0004495074,0.0004388388,0.2023132,0.007947713,0.01946064],"genre_scores_gemma":[0.463019,0.0005753528,0.0347008,0.0002345536,0.0001584921,0.0002483762,0.4959365,0.000616356,0.004510577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02223105,"threshold_uncertainty_score":0.04420328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01588195081126883,"score_gpt":0.2837799926470853,"score_spread":0.2678980418358165,"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."}}