{"id":"W2789485807","doi":"10.3390/sym10030069","title":"Enabling Symmetric Collaboration in Public Spaces through 3D Mobile Interaction","year":2018,"lang":"en","type":"article","venue":"Symmetry","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Usability; Perspective (graphical); Computer science; Situational ethics; Mobile interaction; Human–computer interaction; Order (exchange); Mobile device; Internet privacy; Knowledge management; World Wide Web; Psychology; Business; Social psychology","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":[0.0008906178,0.0008042253,0.0004340881,0.0005035918,0.0007700715,0.001900098,0.0006136204,0.001072343,0.005166407],"category_scores_gemma":[0.0028229,0.0003256459,0.0006800985,0.0004652184,0.0008046957,0.002075716,0.004793579,0.0006658426,0.0009495626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002137395,"about_ca_system_score_gemma":0.0003558643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003948249,"about_ca_topic_score_gemma":0.0007177182,"domain_scores_codex":[0.9989077,0.000518222,0.00004540954,0.0001184279,0.000231733,0.0001785476],"domain_scores_gemma":[0.9983805,0.0008691841,0.0001835618,0.0003143376,0.0001257748,0.0001265499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001144757,0.0006535846,0.01185074,0.001517997,0.0001346363,0.003188729,0.03585431,0.0105733,0.5314962,0.04289354,0.008057128,0.352635],"study_design_scores_gemma":[0.0009035597,0.006391211,0.08546846,0.001368332,0.0006137555,0.01870135,0.03842667,0.1407208,0.3062119,0.05518902,0.344904,0.001100892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5750063,0.000882711,0.3947114,0.0007257472,0.0001464777,0.0002536132,0.0002229591,0.002187343,0.02586351],"genre_scores_gemma":[0.9172367,0.0003142963,0.07976298,0.00008880984,0.00004225805,0.0001878932,0.00007816078,0.0000894679,0.00219946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005166407,"threshold_uncertainty_score":0.01728338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201634473191214,"score_gpt":0.3127725994845384,"score_spread":0.2907562547526263,"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."}}