{"id":"W2091414080","doi":"10.1002/anie.200602610","title":"Noncrystalline Metal–Boron Nanotubes: Synthesis, Characterization, and Catalytic‐Hydrogenation Properties","year":2006,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Boron and Carbon Nanomaterials Research","field":"Materials Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Catalysis; Boron; Materials science; Metal; Characterization (materials science); Chemical engineering; Nanotube; Nanoparticle; Diffraction; Nanotechnology; Pulmonary surfactant; Electron diffraction; Carbon nanotube; Organic chemistry; Chemistry; Metallurgy; Optics","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":[0.0003533086,0.000169967,0.0001765715,0.000115595,0.0001196545,0.00023655,0.0002017833,0.00009973518,0.0008221778],"category_scores_gemma":[0.0001221963,0.000149582,0.00004495468,0.00009556068,0.0001272609,0.0009190149,0.00007972555,0.00005865654,0.00007747461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297769,"about_ca_system_score_gemma":0.00005106271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002612346,"about_ca_topic_score_gemma":0.00003284449,"domain_scores_codex":[0.9984934,0.0000433587,0.0003550219,0.0003463677,0.00054202,0.0002198503],"domain_scores_gemma":[0.9993065,0.00004178871,0.0001432357,0.0001487402,0.0002992869,0.00006045168],"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":[0.000057836,0.00007781608,0.00007874959,0.00003519222,0.00001319729,0.000004335946,0.00004582762,0.000006473195,0.9981622,0.0004235074,0.0007390226,0.0003558777],"study_design_scores_gemma":[0.0003027025,0.00002114994,0.001688091,0.00005911847,0.00001999777,0.00002222903,0.00002981282,0.0002628082,0.9857635,0.0001542277,0.0115007,0.0001756379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924917,0.0001640177,0.002103967,0.001961062,0.0009688156,0.0002304247,0.0002509211,0.0001313169,0.001697749],"genre_scores_gemma":[0.9959502,0.0001310164,0.0001018304,0.0001361642,0.001284236,0.0001401305,0.001097723,0.00002371417,0.001134996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239864,"threshold_uncertainty_score":0.900227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416388892497382,"score_gpt":0.2324738679979909,"score_spread":0.2183099790730171,"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."}}