{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001190282,0.001385142,0.0005092487,0.0007171281,0.0007842892,0.002340912,0.001649144,0.001525316,0.0490193],"category_scores_gemma":[0.01067738,0.0005671387,0.000476413,0.0005909692,0.001028203,0.003889699,0.002708413,0.00110537,0.0107815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000261628,"about_ca_system_score_gemma":0.0003827029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003068852,"about_ca_topic_score_gemma":0.0004991647,"domain_scores_codex":[0.9986963,0.0002957479,0.0001277393,0.0002459825,0.0004965818,0.0001376704],"domain_scores_gemma":[0.9947621,0.002578591,0.0004380828,0.00127723,0.0006003188,0.000343744],"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":[0.002074001,0.0003448382,0.003977809,0.001654276,0.00007221359,0.001387665,0.003222199,0.002980102,0.1314515,0.137512,0.06424678,0.6510766],"study_design_scores_gemma":[0.0002562307,0.001739498,0.007806347,0.0003979517,0.0001249615,0.002486586,0.000932654,0.01918929,0.1013523,0.04549441,0.8199826,0.0002370194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0505438,0.001091869,0.8021213,0.001330027,0.001164432,0.001171117,0.00152655,0.03681511,0.1042358],"genre_scores_gemma":[0.4768152,0.001189783,0.416744,0.001547685,0.0004431,0.001788333,0.001591063,0.003970522,0.09591037],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0490193,"threshold_uncertainty_score":0.1639859,"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."}}