{"id":"W4236511299","doi":"10.1142/9789812791207_0047","title":"ARTIFICIAL METAL NANOCLUSTER CRYSTALS","year":2003,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Materials science; Computer science; Nanotechnology","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":[0.00008464283,0.0001212302,0.0002343652,0.0001435184,0.0001611412,0.0004379972,0.0003200849,0.0002728907,0.001732417],"category_scores_gemma":[0.0001788442,0.0001368222,0.0001332127,0.0001254057,0.0002233959,0.0002566849,0.0002740517,0.0003301927,0.0005619435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000362152,"about_ca_system_score_gemma":0.0001770633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003354278,"about_ca_topic_score_gemma":0.0006657892,"domain_scores_codex":[0.9998623,0.000009893218,0.000009747921,0.00003099384,0.00007110405,0.00001584533],"domain_scores_gemma":[0.9999049,0.00002284329,0.00001929974,0.00002102348,0.00002108599,0.00001083334],"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":[0.00005533919,0.000008464749,0.00008184438,0.00004831666,0.000004764978,0.00005155171,0.00002278683,0.0005079879,0.9914476,0.002872022,0.0003990366,0.004500285],"study_design_scores_gemma":[0.0000111024,0.00004188946,0.0002227217,0.000002965648,0.000005610444,0.0001032563,0.000008850371,0.003724618,0.9879187,0.0003237496,0.007630971,0.000005606084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439737,0.002075581,0.02342177,0.0005023681,0.0003459327,0.00003649755,0.0002920911,0.0006642326,0.02868787],"genre_scores_gemma":[0.9707898,0.0006233401,0.01281844,0.0001050378,0.00002533437,0.00003255051,0.0001678872,0.0001061695,0.0153314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001732417,"threshold_uncertainty_score":0.005795479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856121260259706,"score_gpt":0.2132247924690998,"score_spread":0.1946635798665027,"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."}}