{"id":"W4234889040","doi":"10.1515/iupac.83.0418","title":"Miniaturization","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"3D IC and TSV technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Computer science; Multidisciplinary approach; Process (computing); Field (mathematics); Data science; Management science; Engineering; Sociology; Biology; Linguistics; Mathematics","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":[0.00009477819,0.0002912838,0.0003214357,0.0001878515,0.0000472025,0.00004257432,0.0003214969,0.0005029977,0.0008620835],"category_scores_gemma":[0.0001669325,0.0002231971,0.00007199217,0.0001392241,0.00008994278,0.00006587604,0.00007172285,0.000319599,0.000005255005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002117542,"about_ca_system_score_gemma":0.0001141285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005797749,"about_ca_topic_score_gemma":0.00007641263,"domain_scores_codex":[0.9988818,0.00000913592,0.0002442352,0.0002065367,0.0003863508,0.0002719965],"domain_scores_gemma":[0.9992188,0.00003072081,0.00005213376,0.000547754,0.0001017224,0.00004884663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005625999,0.00001534032,0.000001581332,0.00008846852,0.00005163976,0.00001582778,0.000002788951,0.00001459712,0.00001188457,0.00001860583,0.9937618,0.006011822],"study_design_scores_gemma":[0.0002406896,0.00003785441,0.00001060118,0.0001765226,0.00003736338,0.000004942219,0.00000733228,0.00002371086,0.0001238336,0.0002327294,0.9988119,0.0002925471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007548664,0.001168116,0.001082774,0.0001269766,0.0009576682,0.0001220835,0.9955307,0.0008424601,0.00009377824],"genre_scores_gemma":[0.00008048365,0.002304671,0.00009977604,0.00003142186,0.0004121671,0.00001067335,0.9968612,0.00004123239,0.0001583918],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.005719275,"threshold_uncertainty_score":0.943921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007812581117065988,"score_gpt":0.3337545004177718,"score_spread":0.3259419193007058,"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."}}