{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122098,0.002259524,0.001457128,0.003138997,0.0009768598,0.003708854,0.002849396,0.001583049,0.07287343],"category_scores_gemma":[0.006529638,0.0007991624,0.002741027,0.005125581,0.0004472005,0.002642453,0.002669358,0.001788849,0.1037766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585139,"about_ca_system_score_gemma":0.001798145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01703934,"about_ca_topic_score_gemma":0.02949344,"domain_scores_codex":[0.9980592,0.0002205107,0.0002511794,0.0006632566,0.000590498,0.0002153771],"domain_scores_gemma":[0.9972857,0.0006190117,0.0002814214,0.001041725,0.0006571679,0.0001148993],"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":[0.0001436655,0.00003370053,0.002880136,0.001492092,0.00005699396,0.00003431563,0.00004534798,0.0007966447,0.0003709512,0.002459562,0.9712445,0.02044201],"study_design_scores_gemma":[0.00006275375,0.00001849804,0.005893933,0.0003164179,0.00003955758,0.00008906552,0.00006443747,0.0006538499,0.0007822402,0.001825718,0.9902199,0.00003366862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007865219,0.0005828934,0.001064859,0.0001710788,0.00008210243,0.00005949258,0.9867508,0.001788987,0.008713265],"genre_scores_gemma":[0.001604422,0.0004205293,0.001684017,0.0001378899,0.00001436494,0.0001807844,0.9926254,0.0002567443,0.003075753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07287343,"threshold_uncertainty_score":0.2437859,"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."}}