{"id":"W2104761249","doi":"10.1145/1182475.1182484","title":"Unipad","year":2006,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0000193848,0.00002882972,0.00002514281,0.00002257388,0.00002650126,0.0000301131,0.0001979909,0.000008292337,0.00008011447],"category_scores_gemma":[0.0000020255,0.00002287379,0.00002037192,0.00007670035,0.000006226556,0.000255795,0.00004235843,0.00002192249,0.0005135502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007380568,"about_ca_system_score_gemma":0.000006620211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000106019,"about_ca_topic_score_gemma":0.000005785012,"domain_scores_codex":[0.9997441,0.000006536582,0.00003789849,0.00008388565,0.00004720083,0.0000803708],"domain_scores_gemma":[0.9998155,0.00001291271,0.00000940752,0.000121235,0.00003081736,0.0000100954],"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":[4.179604e-7,0.0000163141,0.0003300779,3.205863e-7,0.000001362712,0.000003905805,0.00001803778,0.000004309715,0.02729355,0.9386522,0.03326382,0.000415699],"study_design_scores_gemma":[0.0003665275,0.00008705098,0.1228839,0.000006082031,0.00000256689,0.00002457127,0.00006599725,0.01271335,0.6061292,0.03846403,0.2189402,0.0003165225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004722528,0.000007701641,0.5494656,0.0004936712,0.0001032179,0.00001280717,1.12847e-7,0.00001323612,0.4451811],"genre_scores_gemma":[0.9845345,2.87433e-7,0.004389711,0.000707312,0.00003095228,0.000001002568,7.628037e-7,0.000001150978,0.01033431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.979812,"threshold_uncertainty_score":0.6600821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004096325044855616,"score_gpt":0.2056105054379832,"score_spread":0.2015141803931276,"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."}}