{"id":"W3123485932","doi":"","title":"The Fabric of Digital Life: Uncovering Sociotechnical Tradeoffs in Embodied Computing Through Metadata","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Embodied cognition; Metadata; Computer science; Wearable computer; Framing (construction); World Wide Web; Data science; Engineering; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01018936,0.0005045581,0.0004131511,0.008917176,0.007147768,0.01848589,0.001473661,0.001411665,0.004487388],"category_scores_gemma":[0.02396292,0.0006433173,0.000454935,0.007466673,0.02929437,0.033971,0.01169179,0.002270863,0.0005650893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00590263,"about_ca_system_score_gemma":0.002724913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320676,"about_ca_topic_score_gemma":0.004412237,"domain_scores_codex":[0.9925942,0.00459773,0.0003876069,0.0007562482,0.001227214,0.0004370501],"domain_scores_gemma":[0.9739976,0.01882621,0.002453616,0.002951802,0.00115867,0.0006120875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001038741,0.00006469705,0.01727716,0.0003482876,0.00001913782,0.0005996639,0.4857529,0.0004228509,0.001914681,0.4428177,0.001104267,0.04957484],"study_design_scores_gemma":[0.00001536715,0.00006708434,0.01163203,0.0008409998,0.00003819038,0.0008643148,0.6302179,0.002627354,0.003003451,0.2378226,0.1127908,0.00007993945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7246654,0.00337991,0.1023401,0.009174293,0.0001576562,0.0002658039,0.0004036975,0.0001986385,0.1594145],"genre_scores_gemma":[0.9747419,0.000790284,0.02045796,0.0003217419,0.00003045211,0.0001564723,0.0001286752,0.0001328562,0.003239759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9928522,"threshold_uncertainty_score":0.05388713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971965078936237,"score_gpt":0.2870868083544725,"score_spread":0.2673671575651101,"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."}}