{"id":"W2041424661","doi":"10.1143/jjap.40.6029","title":"Competing Cluster Growth: The Cu/Sn/Si(111) System","year":2001,"lang":"en","type":"article","venue":"Japanese Journal of Applied Physics","topic":"Surface and Thin Film Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Ostwald ripening; Tin; Copper; Cluster (spacecraft); Monolayer; Materials science; Crystallography; Cluster size; Chemical physics; Analytical Chemistry (journal); Chemistry; Nanotechnology; Metallurgy; Computational chemistry; Chromatography; Electronic structure","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":[0.0001121317,0.0003083163,0.0005393262,0.0003361827,0.0006304709,0.0005492441,0.0004383127,0.0004779438,0.001604728],"category_scores_gemma":[0.0003421346,0.0003160844,0.0001387953,0.000249228,0.0002890804,0.000352399,0.000264322,0.0002730732,0.0002811798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007242178,"about_ca_system_score_gemma":0.0004408149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006176735,"about_ca_topic_score_gemma":0.007161906,"domain_scores_codex":[0.9998442,0.00001597946,0.000006234489,0.00004690131,0.0000449512,0.00004177895],"domain_scores_gemma":[0.999867,0.00003933822,0.0000164932,0.000009986054,0.00003472354,0.00003252863],"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":[0.0003203662,0.00007812721,0.001591812,0.0002430646,0.00004534373,0.0003471941,0.0001168921,0.006357764,0.9849626,0.002862348,0.0004560237,0.002618644],"study_design_scores_gemma":[0.0001824167,0.0004106579,0.006864572,0.00001701259,0.00007357191,0.0003194785,0.0002535498,0.1194124,0.8680407,0.001320284,0.003057284,0.00004807102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969348,0.0002951637,0.0008008219,0.00004380853,0.00001094572,0.00001610892,0.00006457161,0.00004174643,0.001791997],"genre_scores_gemma":[0.9974462,0.0001930541,0.001420653,0.00001567158,0.000005723905,0.00001435097,0.0001571302,0.00001034054,0.0007369671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006176735,"threshold_uncertainty_score":0.0122816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069708018999652,"score_gpt":0.2159834196220937,"score_spread":0.2052863394320971,"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."}}