{"id":"W2011899280","doi":"10.1155/2009/590763","title":"Critical Time to Nucleation: Graphite and Silicon Nanoparticle Generation by Laser Ablation","year":2009,"lang":"en","type":"article","venue":"Journal of Nanotechnology","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nucleation; Materials science; Femtosecond; Laser ablation; Silicon; Laser; Graphite; Ablation; Classical nucleation theory; Optics; Optoelectronics; Thermodynamics; Composite material; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002255602,0.0001650101,0.0002526074,0.0003394867,0.000421509,0.0002758876,0.0002757125,0.0003971749,0.000501267],"category_scores_gemma":[0.0008554677,0.0001364112,0.0002819588,0.000187871,0.0006426579,0.0003826494,0.000291497,0.0003314729,0.00004519054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272125,"about_ca_system_score_gemma":0.0006767887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806287,"about_ca_topic_score_gemma":0.001771097,"domain_scores_codex":[0.9999126,0.00000894672,0.000002710767,0.00001187446,0.00003953382,0.00002427064],"domain_scores_gemma":[0.9997473,0.0001629005,0.00003350235,0.000007971132,0.00002889521,0.00001947462],"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":[0.0005057882,0.00008418679,0.004580419,0.0002025075,0.00001879028,0.0006795791,0.0003916043,0.2208775,0.6855916,0.0750527,0.0002556107,0.01175973],"study_design_scores_gemma":[0.0000423905,0.0001280136,0.00299569,0.00001434692,0.000009201697,0.0001651927,0.00006709713,0.7224139,0.2653898,0.00785841,0.0008845963,0.00003138398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580297,0.0008954092,0.03745749,0.0001192191,0.00002536643,0.00002625324,0.00002748402,0.00008940998,0.003329699],"genre_scores_gemma":[0.9955423,0.0001750922,0.003908103,0.00000549073,0.000002774664,0.00000964097,0.00001364051,0.000006156878,0.00033683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003806287,"threshold_uncertainty_score":0.009229958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005668099663708711,"score_gpt":0.2188940916317719,"score_spread":0.2132259919680632,"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."}}