{"id":"W2948103097","doi":"","title":"Toward Discreet Interactions and Publicly Explicit Activities","year":2019,"lang":"en","type":"preprint","venue":"R-libre (Université Téluq)","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"Computer science; Human–computer interaction; Optical head-mounted display; Internet privacy; Psychology; 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":[],"consensus_categories":[],"category_scores_codex":[0.007491425,0.0009625,0.000407402,0.0009756985,0.003595577,0.01016867,0.00211953,0.002958644,0.009176206],"category_scores_gemma":[0.0181371,0.0006096148,0.0005667658,0.0004997987,0.01185289,0.01182924,0.01515838,0.005517609,0.00158964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002015776,"about_ca_system_score_gemma":0.001492972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969232,"about_ca_topic_score_gemma":0.00377022,"domain_scores_codex":[0.9850029,0.01027352,0.000310922,0.001303601,0.002308612,0.0008004378],"domain_scores_gemma":[0.973194,0.01430013,0.003714358,0.004672177,0.002263159,0.001856102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003015283,0.0004068368,0.01557812,0.0006320821,0.00006813549,0.001225482,0.4847167,0.00156073,0.01560848,0.2933697,0.008143505,0.1783887],"study_design_scores_gemma":[0.0001090112,0.0006994418,0.01703258,0.001057075,0.0001060183,0.002517773,0.2337377,0.012374,0.01418354,0.2091884,0.5087296,0.0002648496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3079695,0.001647103,0.4507118,0.02275325,0.0005602107,0.0001911079,0.00008234387,0.001398503,0.2146862],"genre_scores_gemma":[0.9479986,0.0003633077,0.02731252,0.0008699119,0.0001508424,0.0001859927,0.0000691039,0.0002370836,0.02281276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01016867,"threshold_uncertainty_score":0.03961891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677493373082135,"score_gpt":0.2234557603867706,"score_spread":0.1966808266559492,"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."}}