{"id":"W2049986273","doi":"10.1029/2005je002623","title":"Measuring the bulk density of meteorites nondestructively using three‐dimensional laser imaging","year":2006,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Neptec Design Group (Canada); Geological Survey of Canada; Natural Resources Canada; Carleton University","funders":"","keywords":"Meteorite; Laser; Materials science; Optics; Volume (thermodynamics); Surface roughness; Raster graphics; Surface finish; Geology; Remote sensing; Mineralogy; Physics; Computer science; Astrobiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009151872,0.0001007229,0.0002140497,0.00002364967,0.0002890558,0.00007739291,0.0002986335,0.00001660231,0.00005508716],"category_scores_gemma":[0.00005594085,0.00006388413,0.0001409243,0.0003598783,0.000285904,0.0005796914,0.0000836226,0.0004254852,0.00002040401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003347476,"about_ca_system_score_gemma":0.0002208083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334058,"about_ca_topic_score_gemma":0.00005759499,"domain_scores_codex":[0.9980221,0.0001506583,0.0003255765,0.0001299219,0.001055232,0.0003165272],"domain_scores_gemma":[0.9984175,0.0004502496,0.0002223792,0.000140769,0.0006886098,0.00008050823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004019921,0.0005153017,0.6108555,0.00002312058,0.0001985223,0.00005000932,0.0001978939,0.03622804,0.3283994,0.008431799,0.001690819,0.01300762],"study_design_scores_gemma":[0.0008309664,0.000257657,0.6328372,0.0001655214,0.00006693992,0.00002791957,0.0008658498,0.07373241,0.07748164,0.2132276,0.0002511538,0.00025512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976557,0.00008381571,0.001652645,0.0002015562,0.00007897215,0.0000734029,0.000006205639,0.000002517307,0.0002451852],"genre_scores_gemma":[0.9963843,7.490322e-7,0.002871419,0.000007509399,0.0006900585,7.389887e-7,0.000003956952,0.000006680161,0.00003455121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2509177,"threshold_uncertainty_score":0.504998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04494883838875801,"score_gpt":0.2924718256895158,"score_spread":0.2475229873007578,"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."}}