{"id":"W1965761374","doi":"10.1063/1.4773206","title":"Effects of Be doping on InP nanowire growth mechanisms","year":2012,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Dopant; Nanowire; Nucleation; Doping; Materials science; Molecular beam epitaxy; Monolayer; Diffusion; Chemical physics; Vapor–liquid–solid method; Nanotechnology; Epitaxy; Condensed matter physics; Optoelectronics; Layer (electronics); Chemistry; Thermodynamics","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":[0.00004965567,0.0001548258,0.0001823025,0.0000320069,0.00004723336,0.000008712794,0.0001267267,0.00004186378,0.000005286799],"category_scores_gemma":[0.000002329592,0.0001555055,0.00006399346,0.0001591566,0.00002305152,0.00006228619,0.00001984091,0.0001000913,0.00006191086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003036986,"about_ca_system_score_gemma":0.00000266643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002712137,"about_ca_topic_score_gemma":6.075198e-8,"domain_scores_codex":[0.9993413,0.000007446434,0.0001310136,0.0001145907,0.0001438617,0.0002617814],"domain_scores_gemma":[0.9995751,0.0001255443,0.00003703298,0.0001968403,0.000007258061,0.00005821201],"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":[0.000001470613,0.0000406756,0.000007980671,0.0001030315,0.00003024115,1.31801e-7,0.0001362464,0.0003443483,0.8391913,0.1563926,0.001108233,0.002643772],"study_design_scores_gemma":[0.000147254,0.000004808794,0.0003341721,0.00002744526,0.00002502437,1.695703e-7,0.000009536898,0.00004612645,0.997702,0.0009072265,0.0006238815,0.0001723264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9012942,0.00004276438,0.09142461,0.0002732405,0.0002585905,0.0004516836,0.000008464674,0.0002667388,0.005979698],"genre_scores_gemma":[0.9973745,0.000009072963,0.00142455,0.0007918357,0.0002043061,0.0001399716,0.000006830212,0.00004550254,0.000003415771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1585107,"threshold_uncertainty_score":0.634133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006578726504767683,"score_gpt":0.1858631530556602,"score_spread":0.1792844265508926,"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."}}