{"id":"W3004675082","doi":"","title":"250 dvds on a quarter: new method of self-assembljng nanoscale elements could transform data storage industry","year":2009,"lang":"en","type":"article","venue":"","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217812,0.0002815443,0.0001970371,0.000406236,0.0004252841,0.0005771019,0.0004854713,0.0003635476,0.01920947],"category_scores_gemma":[0.0002885608,0.0001637533,0.0001439922,0.0003439273,0.0002565083,0.0007565921,0.0004403581,0.0004245033,0.003255293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903506,"about_ca_system_score_gemma":0.0001908616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004039168,"about_ca_topic_score_gemma":0.001049486,"domain_scores_codex":[0.9998672,0.00001241497,0.000005678061,0.0000403811,0.00005599841,0.00001820393],"domain_scores_gemma":[0.9999105,0.0000146477,0.000007064416,0.00002444562,0.0000255991,0.00001782076],"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":[0.0004059575,0.0001036396,0.0007047525,0.000221948,0.00001981085,0.0002656063,0.0002180548,0.0003991404,0.7994549,0.01688647,0.02157088,0.1597488],"study_design_scores_gemma":[0.00007638973,0.0004256973,0.001150145,0.00002531169,0.00002964615,0.0005624132,0.0001748003,0.006199991,0.6768441,0.003388215,0.3110842,0.00003906804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4093511,0.006691183,0.248843,0.004995363,0.00606774,0.0004455325,0.00234982,0.007915984,0.3133402],"genre_scores_gemma":[0.7639911,0.001262791,0.06998833,0.0009439397,0.0004879415,0.0001152333,0.0006419576,0.0007134822,0.1618552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01920947,"threshold_uncertainty_score":0.06426209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03137294472873175,"score_gpt":0.3081200513124899,"score_spread":0.2767471065837582,"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."}}