{"id":"W2057637666","doi":"10.1063/1.4889801","title":"Modelling of InGaP nanowires morphology and composition on molecular beam epitaxy growth conditions","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nanowire; Ternary operation; Materials science; Growth rate; Molecular beam epitaxy; Binary number; Semiconductor; Morphology (biology); Nanotechnology; Chemical physics; Epitaxy; Optoelectronics; Chemistry; Layer (electronics); Mathematics; Geometry","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":[0.0000878567,0.00009075885,0.0002099064,0.00005494201,0.00004260755,0.000009670883,0.00007594375,0.00004371333,0.00000277275],"category_scores_gemma":[0.000002133041,0.00008734473,0.00005670702,0.0000825053,0.00004331942,0.00004419112,0.000008942034,0.0001309225,0.000003053499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000152993,"about_ca_system_score_gemma":0.000006769732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001329644,"about_ca_topic_score_gemma":3.788495e-8,"domain_scores_codex":[0.999476,0.000009059536,0.0002504843,0.00006520967,0.0001099774,0.00008929168],"domain_scores_gemma":[0.9995777,0.000089622,0.0001325503,0.00009455327,0.0000605069,0.00004504717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000005866571,0.00003707977,0.000002990086,0.00001918666,0.00002716337,3.714248e-7,0.00004925669,0.4995196,0.4445668,0.05517533,0.00007182914,0.000524574],"study_design_scores_gemma":[0.0002833148,0.00005859979,0.00005427776,0.00004957369,0.00005364028,0.000007168124,0.00001887828,0.1157699,0.8344634,0.04902423,0.000107866,0.0001091584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8028177,0.00003021037,0.1950827,0.00002485639,0.00003370654,0.00005494372,0.000008473196,0.00001375007,0.001933685],"genre_scores_gemma":[0.9964078,0.00004526159,0.0033842,0.00003752531,0.00009589753,0.000005626734,0.000004730049,0.00001820183,7.573273e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3898967,"threshold_uncertainty_score":0.3561814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009953374106563209,"score_gpt":0.2044997469795623,"score_spread":0.1945463728729991,"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."}}