{"id":"W2295393607","doi":"10.1145/1240624.1240834","title":"Pressure marks","year":2007,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Selection (genetic algorithm); Set (abstract data type); Action (physics); Sequence (biology); Lasso (programming language); Artificial intelligence; World Wide Web; Programming language","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":[0.000116522,0.00003830019,0.00003350288,0.00003242151,0.00003087828,0.00002811308,0.0002871356,0.00001845767,0.0002026825],"category_scores_gemma":[0.000009844304,0.00003047251,0.0000264399,0.00007884547,0.000007361706,0.0002990056,0.00007498168,0.00004796574,0.0002524733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004736663,"about_ca_system_score_gemma":0.000006743946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001429875,"about_ca_topic_score_gemma":0.000003604658,"domain_scores_codex":[0.9996132,0.00000618665,0.00005407763,0.0001136817,0.00007540387,0.0001374696],"domain_scores_gemma":[0.9996996,0.00003637932,0.00001408821,0.0001689613,0.00004809887,0.00003287004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001638181,0.00007212938,0.002064048,0.000005703482,0.00004308538,0.00003926797,0.000625535,0.000004415528,0.07504094,0.8240654,0.08178239,0.01624066],"study_design_scores_gemma":[0.0002884586,0.0001002271,0.157592,0.000008436232,0.000006720414,0.00003007906,0.0001771382,0.00622059,0.3199519,0.002031001,0.5133295,0.0002639682],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00145533,0.00002339671,0.6719041,0.0002161065,0.0001925428,0.0000228364,1.472798e-7,0.00001196103,0.3261735],"genre_scores_gemma":[0.9811968,8.27215e-7,0.005930427,0.001440101,0.00003579994,5.344966e-7,3.930628e-7,0.000001697988,0.01139344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9797415,"threshold_uncertainty_score":0.3245117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00612858232732389,"score_gpt":0.2503302462654687,"score_spread":0.2442016639381448,"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."}}