{"id":"W2325062150","doi":"10.2514/6.2012-516","title":"Evolution of a Mini Coring Tool for Sample Acquisition","year":2012,"lang":"en","type":"article","venue":"50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coring; Sample (material); Computer science; Engineering; Chromatography; Mechanical engineering; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166054,0.0002811344,0.0002832223,0.0001476267,0.0008853009,0.0001250816,0.0002468113,0.0001199117,0.000003982444],"category_scores_gemma":[0.0002156051,0.0002397707,0.0001163255,0.0005706517,0.0001800832,0.0006784554,0.0001044489,0.0001606431,0.00000356797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708436,"about_ca_system_score_gemma":0.00003705908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001425022,"about_ca_topic_score_gemma":0.00002307321,"domain_scores_codex":[0.998188,0.00004102182,0.0003432396,0.000285878,0.0003400553,0.0008017672],"domain_scores_gemma":[0.9988971,0.0005133942,0.0001511005,0.000223419,0.00005821149,0.0001567615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008261475,0.0000828528,0.04481009,0.0004597567,0.0001010053,3.637484e-7,0.00459981,0.3943932,0.5169645,0.02529886,0.006599107,0.006607851],"study_design_scores_gemma":[0.002895688,0.001663199,0.007662251,0.002680382,0.0003887719,0.00007783492,0.01323659,0.566732,0.3893737,0.006254899,0.006651852,0.00238275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.632194,0.002102115,0.3627373,0.0005640238,0.001310465,0.0004121005,0.00002444667,0.0003219831,0.0003335575],"genre_scores_gemma":[0.972824,0.0001399948,0.02629712,0.00002200174,0.0005622766,0.00004483734,0.00001050553,0.00004094463,0.00005826367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3406301,"threshold_uncertainty_score":0.9777564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576329003225702,"score_gpt":0.2436858627988543,"score_spread":0.2279225727665972,"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."}}