{"id":"W2077771768","doi":"10.1145/1296843.1296848","title":"Slipping and drifting","year":2007,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Slipping; Computer science; Engineering; Structural engineering","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":[0.00014219,0.00003130375,0.00002996684,0.00003550671,0.00005219103,0.00003800416,0.000103491,0.00001066807,0.00001652116],"category_scores_gemma":[0.00001616378,0.00002648005,0.00001102953,0.0000675558,0.000007759738,0.0002969748,0.00007790468,0.00003632196,0.00002465163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005900211,"about_ca_system_score_gemma":0.000003499894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000167494,"about_ca_topic_score_gemma":0.000004535356,"domain_scores_codex":[0.999683,0.000004012643,0.00005166999,0.0001011569,0.00004422045,0.0001160042],"domain_scores_gemma":[0.9998031,0.00005270025,0.00001392293,0.0000744358,0.00002786311,0.00002793776],"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":[0.000004371705,0.00002076155,0.007498654,0.000005870779,0.00001504794,0.00003186528,0.00242821,9.412624e-7,0.2688923,0.6616336,0.001423297,0.05804518],"study_design_scores_gemma":[0.0005373026,0.000134638,0.3115521,0.0000448219,0.000004792118,0.0001138415,0.002212154,0.0153833,0.6313258,0.003082593,0.03513125,0.000477336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08354393,0.00001923619,0.7991801,0.0001942356,0.0001089678,0.00001684923,2.686546e-8,0.00001115127,0.1169255],"genre_scores_gemma":[0.9871877,0.000001178497,0.01129725,0.0009860347,0.00002465231,1.876564e-7,9.894217e-8,0.000001237358,0.0005016355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9036438,"threshold_uncertainty_score":0.1079825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006719201410084276,"score_gpt":0.2460834240210308,"score_spread":0.2393642226109466,"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."}}