{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00357425,0.00130712,0.001248228,0.003294425,0.0007392425,0.001799568,0.004305074,0.001285438,0.01012878],"category_scores_gemma":[0.006261052,0.001434195,0.0007480768,0.001959477,0.0007168094,0.002767551,0.001611349,0.001877972,0.003998964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006809121,"about_ca_system_score_gemma":0.002354987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00319844,"about_ca_topic_score_gemma":0.005144995,"domain_scores_codex":[0.9960809,0.0001617269,0.0002154514,0.0008137116,0.002554485,0.0001737184],"domain_scores_gemma":[0.9938047,0.001295601,0.0003521488,0.001873065,0.002352403,0.0003222233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004484784,0.0001121262,0.001898141,0.0003609765,0.00004495847,0.0002944301,0.0002824814,0.001426686,0.6779179,0.003241302,0.005967002,0.3080056],"study_design_scores_gemma":[0.0001539101,0.001403008,0.01221584,0.0002043416,0.000116892,0.004361899,0.0002345674,0.05995595,0.6836693,0.002018609,0.2352739,0.0003918895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02759316,0.000703208,0.9417927,0.0002761851,0.0002532197,0.0008764205,0.0009901706,0.02002497,0.007489965],"genre_scores_gemma":[0.05193298,0.0002584294,0.9379801,0.000246148,0.00006749666,0.0003924193,0.001262267,0.001374916,0.006485268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01012878,"threshold_uncertainty_score":0.03388411,"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."}}