{"id":"W3004902121","doi":"10.1145/3374920.3375004","title":"Encasing Computation","year":2020,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Microcontroller; Wearable computer; Computer science; Context (archaeology); Wearable technology; Bridge (graph theory); Electronics; Embedded system; Engineering; Electrical engineering","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":[0.0006353541,0.0008927989,0.0005772157,0.001205738,0.001566259,0.004881131,0.001686846,0.001028174,0.05186624],"category_scores_gemma":[0.00547949,0.00037031,0.0007528042,0.002014571,0.001636425,0.006883853,0.003790815,0.001247635,0.01344862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031298,"about_ca_system_score_gemma":0.0007514678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462898,"about_ca_topic_score_gemma":0.002357633,"domain_scores_codex":[0.9988422,0.0002022509,0.00008603775,0.0003338389,0.0003907392,0.0001449031],"domain_scores_gemma":[0.9984215,0.0003945122,0.0000588931,0.0007812146,0.0002638343,0.0000799757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001603558,0.00004138719,0.0006293439,0.0003877007,0.00004098542,0.0003330529,0.0007271396,0.003931048,0.007527144,0.624682,0.05100937,0.3105305],"study_design_scores_gemma":[0.00002765551,0.00006365229,0.000413054,0.0001678651,0.00003716564,0.0006142287,0.0004217713,0.02037216,0.009277713,0.228509,0.7400575,0.0000382193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01998104,0.003961197,0.6225278,0.002632328,0.002180102,0.0002914712,0.001379714,0.007491771,0.3395546],"genre_scores_gemma":[0.3874246,0.006556977,0.342944,0.002051831,0.0009511887,0.0004814033,0.003798738,0.00270522,0.2530861],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05186624,"threshold_uncertainty_score":0.1735099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089403141087526,"score_gpt":0.2649726869830252,"score_spread":0.23407865557215,"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."}}