{"id":"W2106483614","doi":"10.1145/2307798.2307816","title":"The LunchTable","year":2012,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Casual; Computer science; Situated; Human–computer interaction; Table (database); World Wide Web; Mobile device; Multimedia; Space (punctuation); Information access; Internet privacy; Artificial intelligence; Database","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":[0.0005234049,0.0006401638,0.0005117276,0.0006341964,0.00117525,0.002018048,0.001307837,0.0009591071,0.05696433],"category_scores_gemma":[0.002221758,0.000512025,0.0005975791,0.0005928178,0.0003737196,0.002433727,0.004275457,0.0009645844,0.01316637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002746219,"about_ca_system_score_gemma":0.0005425114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002046034,"about_ca_topic_score_gemma":0.003356484,"domain_scores_codex":[0.9994904,0.0001159995,0.00002353484,0.0001446893,0.0001467783,0.00007850477],"domain_scores_gemma":[0.9989232,0.0001938758,0.00005856504,0.0003943526,0.0001499847,0.0002798876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003190147,0.0005468196,0.01158033,0.001252401,0.0001746694,0.00117214,0.009170504,0.001116324,0.08991718,0.02225502,0.2685329,0.5910915],"study_design_scores_gemma":[0.000215158,0.0008216517,0.02259521,0.0003023022,0.000188765,0.002521109,0.001836617,0.007724763,0.02091774,0.005843051,0.9367594,0.0002742204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2500667,0.003689357,0.4014618,0.002747412,0.001242922,0.001495085,0.01206998,0.09219055,0.2350362],"genre_scores_gemma":[0.6227734,0.001136653,0.177144,0.0015645,0.0003926481,0.001015664,0.007198297,0.004299938,0.1844749],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05696433,"threshold_uncertainty_score":0.1905646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009409786558079598,"score_gpt":0.2426860775823478,"score_spread":0.2332762910242682,"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."}}