{"id":"W2556802490","doi":"10.1145/2992154.2996794","title":"Grab This, Swipe That","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"SwIPe; Human–computer interaction; Computer science; Multimedia; Range (aeronautics); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005225616,0.00006017285,0.00005288674,0.00003603745,0.00004261755,0.00003632856,0.0004345838,0.00001954527,0.0007897789],"category_scores_gemma":[0.00001530222,0.00003157576,0.00004660408,0.00006173492,0.00001745812,0.0006780557,0.0001180943,0.00002816288,0.002619041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001891375,"about_ca_system_score_gemma":0.00001489586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001886765,"about_ca_topic_score_gemma":0.000002877082,"domain_scores_codex":[0.9994898,0.00001702068,0.00005133706,0.0001777754,0.000106122,0.000157923],"domain_scores_gemma":[0.9995538,0.00006430996,0.00002217234,0.0002715555,0.00004891946,0.00003925107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006609799,0.00004455273,0.002510945,0.000001823481,0.00002090319,0.00001418984,0.0002850551,4.736117e-8,0.2123831,0.6167723,0.1420031,0.02595741],"study_design_scores_gemma":[0.0004104244,0.0001024755,0.02057236,0.00002806508,0.000002826934,0.00001976208,0.00004658135,0.0001794681,0.8245768,0.006480974,0.147322,0.0002582294],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004165601,0.0000231394,0.7313681,0.004601484,0.0004833573,0.00004190738,8.836762e-7,0.00003308563,0.2592825],"genre_scores_gemma":[0.9733926,0.0000121611,0.001603546,0.001898289,0.00003020593,0.000002965551,2.165384e-7,0.000002881849,0.02305711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.969227,"threshold_uncertainty_score":0.9981576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881846096708664,"score_gpt":0.2425470480926476,"score_spread":0.223728587125561,"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."}}