{"id":"W3119892622","doi":"10.2172/1755190","title":"Hypervelocity Impact of TI6AL4V Alloy Materials","year":2016,"lang":"en","type":"article","venue":"","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypervelocity; Titanium alloy; Representation (politics); Alloy; Nanotechnology; Astrobiology; Computer science; Materials science; Chemistry; Metallurgy; Physics; Astronomy","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":[0.0002381079,0.0005001773,0.0004153948,0.0007414278,0.001133226,0.001078554,0.0005426701,0.0008876328,0.02648547],"category_scores_gemma":[0.000356501,0.0002201993,0.0003722828,0.0003985592,0.0003536341,0.0005971837,0.0009670436,0.0004861108,0.003205779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008836695,"about_ca_system_score_gemma":0.0003534814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003083909,"about_ca_topic_score_gemma":0.005661642,"domain_scores_codex":[0.9998034,0.00001688623,0.000003885748,0.00001933104,0.0000844256,0.00007209172],"domain_scores_gemma":[0.9999117,0.00001952264,0.000008097293,0.00001064235,0.00003385786,0.00001617108],"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":[0.006136085,0.0002837302,0.009041498,0.001225733,0.0002586746,0.003630663,0.0008494144,0.02050796,0.7892027,0.02286585,0.04310971,0.1028879],"study_design_scores_gemma":[0.000363673,0.003114259,0.1016951,0.000469958,0.0002954127,0.001993987,0.003838686,0.05342493,0.6392466,0.02458539,0.1707503,0.0002216675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8105282,0.00707494,0.004346251,0.001788927,0.002215893,0.0001021838,0.001283238,0.0004713814,0.1721889],"genre_scores_gemma":[0.9339876,0.001747665,0.0008399204,0.0001572609,0.00009960323,0.0000220654,0.0008937155,0.0001195698,0.06213253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02648547,"threshold_uncertainty_score":0.08860272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353768191584291,"score_gpt":0.215954373861227,"score_spread":0.2024166919453841,"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."}}