{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001183257,0.0002697065,0.0006123841,0.0007668126,0.0001284739,0.00002873354,0.0002439148,0.0002067952,0.0001518619],"category_scores_gemma":[0.00003872153,0.0002502433,0.000180144,0.0006396411,0.0002823503,0.001541221,0.0003355458,0.0001795818,0.00000594548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050787,"about_ca_system_score_gemma":0.00005861517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005324003,"about_ca_topic_score_gemma":0.004972027,"domain_scores_codex":[0.9990239,0.000006419594,0.0003472428,0.0002965999,0.0001642776,0.0001615391],"domain_scores_gemma":[0.9984687,0.00005267851,0.0008614053,0.0002292505,0.000355804,0.00003213835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004660259,0.0002835041,0.8357995,0.001303763,0.0002651765,0.00000219441,0.00009178514,0.000008051804,0.000001996309,0.0001891802,0.09817916,0.06340963],"study_design_scores_gemma":[0.001477306,0.0001173311,0.7457671,0.0002178283,0.0001674305,0.000006476834,0.00003902425,0.0005239995,0.00000281684,0.00008490242,0.2513502,0.0002455608],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8650811,0.0005817161,0.00005863635,0.00004568995,0.000383174,0.0004401213,0.000352694,0.00005537864,0.1330014],"genre_scores_gemma":[0.8398725,0.0004812495,0.0003606832,0.00003105079,0.0004391858,9.743303e-7,0.0004433145,0.0001046341,0.1582664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1531711,"threshold_uncertainty_score":0.999995,"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."}}