{"id":"W2549910422","doi":"10.1145/2992154.2996874","title":"Actibles","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Science Foundation","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002230152,0.0000281436,0.00002491142,0.00002331781,0.00002021005,0.00001718221,0.0002314265,0.000008169081,0.0002435662],"category_scores_gemma":[0.00001228893,0.00001395275,0.00002029458,0.0000441243,0.000007890352,0.0005033532,0.00005723663,0.00001031746,0.001201259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008772591,"about_ca_system_score_gemma":0.00000812646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004181667,"about_ca_topic_score_gemma":9.527594e-7,"domain_scores_codex":[0.9997425,0.000007093206,0.00003036652,0.0000921931,0.00004590316,0.0000819097],"domain_scores_gemma":[0.9997545,0.00004247705,0.000009745418,0.0001433837,0.00002970251,0.00002011533],"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":[0.000001415292,0.00001011576,0.0003808397,3.46208e-7,0.000004778203,0.000002418542,0.00004329495,1.953893e-8,0.5111419,0.4527926,0.01573242,0.01988991],"study_design_scores_gemma":[0.000155648,0.0000414166,0.01250722,0.000008662717,6.310868e-7,0.000007279061,0.00001925452,0.00006547882,0.9264363,0.004120544,0.05655084,0.00008672816],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005395296,0.000004066484,0.8470249,0.002943323,0.0001626476,0.00001399932,2.278711e-7,0.00001596648,0.1444396],"genre_scores_gemma":[0.9887208,0.000003598817,0.002394504,0.0007847069,0.00001837677,0.000001283832,3.935762e-8,0.000001172979,0.008075556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9833255,"threshold_uncertainty_score":0.9995764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009021397338262052,"score_gpt":0.2312829553205498,"score_spread":0.2222615579822877,"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."}}