{"id":"W1679659050","doi":"","title":"A Future Projection of Hardware, Software, and Market Trends of Tablet Computers","year":2013,"lang":"en","type":"other","venue":"NC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Software; Battery (electricity); Computer science; Tablet pc; Computer hardware; Projection (relational algebra); Fiscal year; Computer graphics (images); Embedded system; Business; Operating system; Multimedia; Finance; 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":[0.0004666952,0.0002110832,0.0001277985,0.003201806,0.0003018944,0.001968822,0.0003202473,0.0004327529,0.006267149],"category_scores_gemma":[0.002962719,0.000121628,0.0002123449,0.004222798,0.0001852151,0.001980548,0.0004308887,0.0006297178,0.0008767224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223007,"about_ca_system_score_gemma":0.0004833116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03070357,"about_ca_topic_score_gemma":0.0387829,"domain_scores_codex":[0.9995813,0.00003546018,0.00003138214,0.00005741765,0.0001930123,0.0001014378],"domain_scores_gemma":[0.9957868,0.0005649187,0.00141812,0.0001163216,0.001792452,0.0003213127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00041938,0.0001676683,0.8882777,0.0000978616,0.00002681485,0.0004780605,0.000662088,0.001291704,0.005034869,0.003019758,0.009350509,0.09117357],"study_design_scores_gemma":[0.000003059105,0.00006005605,0.9861143,0.00002345367,0.000008721697,0.00019995,0.001032965,0.002660405,0.001209908,0.0001535801,0.008521101,0.00001247402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745582,0.0008215665,0.00059637,0.001388413,0.00002393951,0.00001693331,0.007278051,0.00008103924,0.0152355],"genre_scores_gemma":[0.9894232,0.0007003265,0.0008919027,0.0001120182,0.00004338691,0.00000984572,0.004501304,0.00002957704,0.004288331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03070357,"threshold_uncertainty_score":0.0610497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063670463093189,"score_gpt":0.1844300910285959,"score_spread":0.173793386397664,"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."}}