{"id":"W2168369222","doi":"10.1109/ds-rt.2008.23","title":"Evaluating ALPHAN with Multi-user Collaboration","year":2008,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Benchmark (surveying); Protocol (science); Lift (data mining); Haptic technology; Simple (philosophy); Human–computer interaction; Simulation; Data mining","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":[0.02336351,0.001185745,0.001008181,0.001333094,0.0007092356,0.002042475,0.001708311,0.001290931,0.002157837],"category_scores_gemma":[0.06610728,0.0004324099,0.0003667554,0.000740435,0.0009983825,0.003674165,0.00303514,0.001196661,0.0004295234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093066,"about_ca_system_score_gemma":0.001256196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008730274,"about_ca_topic_score_gemma":0.0005314864,"domain_scores_codex":[0.9762914,0.01392902,0.00164153,0.001265996,0.006143097,0.0007289834],"domain_scores_gemma":[0.900264,0.06927256,0.007423455,0.009027133,0.01165518,0.002357751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01949735,0.007540471,0.06571025,0.004135516,0.0008938615,0.00174576,0.005714641,0.1946776,0.1730915,0.01193781,0.002415339,0.5126399],"study_design_scores_gemma":[0.0006449881,0.02163639,0.01826655,0.0001896855,0.0003884673,0.001427997,0.002076742,0.8222345,0.1201304,0.006876776,0.005860909,0.0002666062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070667,0.0003748061,0.1844334,0.0001863151,0.0001130781,0.001657943,0.0001310488,0.001387714,0.004648976],"genre_scores_gemma":[0.9485044,0.00009605621,0.04968977,0.00004172816,0.00002201464,0.0005460717,0.0001086276,0.00007462779,0.0009166927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02336351,"threshold_uncertainty_score":0.1235595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05248762346726648,"score_gpt":0.2947655173543565,"score_spread":0.24227789388709,"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."}}