{"id":"W1963663149","doi":"10.1007/s10853-010-4855-z","title":"Fabrication of an aluminum–carbon nanotube metal matrix composite by accumulative roll-bonding","year":2010,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Carbon nanotube; Microstructure; Composite number; Fabrication; Accumulative roll bonding; Composite material; Nanotube; Transmission electron microscopy; Carbon nanotube metal matrix composites; Aluminium; Metal; Matrix (chemical analysis); Metal matrix composite; Nanotechnology; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001247408,0.0002841517,0.0001918022,0.0003044339,0.0003994667,0.0002660737,0.0002552616,0.0003474737,0.001407917],"category_scores_gemma":[0.0001116602,0.0002124708,0.0001906766,0.0001672832,0.0001183774,0.00025107,0.0002009289,0.0003726908,0.0005810122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607002,"about_ca_system_score_gemma":0.0001741628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002955164,"about_ca_topic_score_gemma":0.001417561,"domain_scores_codex":[0.9998958,0.000006983442,0.000005302893,0.00003150794,0.00004575498,0.00001469645],"domain_scores_gemma":[0.9999241,0.00001211557,0.00001701112,0.00001511679,0.00001922235,0.00001245601],"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":[0.000009284279,0.000008506637,0.00002702543,0.00001462403,0.00000162317,0.00003482018,0.00001110391,0.00007753159,0.9982399,0.00009615966,0.00004288493,0.001436475],"study_design_scores_gemma":[0.000003544079,0.00006664851,0.0004314146,0.000001440069,0.00000375375,0.00006327933,0.000009521459,0.00105321,0.9971029,0.00002127837,0.001238803,0.000004067145],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539114,0.0007717957,0.03406746,0.0001688656,0.0002008283,0.00009766936,0.0002588315,0.001021178,0.009502091],"genre_scores_gemma":[0.9556571,0.0002444126,0.03800406,0.00003752442,0.00002530578,0.00005258477,0.0001163626,0.00005491247,0.005807773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001407917,"threshold_uncertainty_score":0.004709959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137710936655011,"score_gpt":0.2570665091667932,"score_spread":0.2456893998002431,"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."}}