{"id":"W1988183705","doi":"10.1111/maps.12100","title":"Thermal modeling of shock melts in Martian meteorites: Implications for preserving Martian atmospheric signatures and crystallization of high‐pressure minerals from shock melts","year":2013,"lang":"en","type":"article","venue":"Meteoritics and Planetary Science","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University; University of Alberta; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meteorite; Martian; Crystallization; Shock (circulatory); Atmosphere of Mars; Hypervelocity; Argon; Materials science; Atmospheric pressure; Analytical Chemistry (journal); Thermodynamics; Chemistry; Mars Exploration Program; Atomic physics; Geology; Astrobiology; Physics","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":[0.00009778661,0.0002195693,0.0002008766,0.0001832605,0.0002316243,0.0003827313,0.0003189745,0.0002029225,0.001112555],"category_scores_gemma":[0.0002717328,0.0001605651,0.0003049969,0.0001898714,0.0002038588,0.000229321,0.000195762,0.0001733467,0.0001148516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005180177,"about_ca_system_score_gemma":0.0003075231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007686545,"about_ca_topic_score_gemma":0.004038759,"domain_scores_codex":[0.9999727,0.000004710582,0.00000165495,0.000006220465,0.000007644127,0.000007052261],"domain_scores_gemma":[0.9999409,0.00001849454,0.0000109095,0.000007482224,0.00001172588,0.00001055519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003275495,0.00007225371,0.01661056,0.00003560163,0.0000368011,0.0001094214,0.00008329542,0.9142807,0.06045846,0.001162575,0.0001397874,0.006682892],"study_design_scores_gemma":[0.00001938125,0.00003363834,0.005936401,0.000001803424,0.000005906204,0.00002243418,0.00001940796,0.9878142,0.005597895,0.0002986216,0.000245649,0.000004616024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849951,0.00007757813,0.01286196,0.00003756775,0.00000499129,0.00001520208,0.0001092613,0.0001295637,0.001768667],"genre_scores_gemma":[0.9983202,0.00002526279,0.001299825,0.000002859022,0.000001827185,0.000007149966,0.00005303271,0.00002105416,0.0002688248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007686545,"threshold_uncertainty_score":0.01528364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016974256936094,"score_gpt":0.215065032370828,"score_spread":0.2048952898014671,"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."}}