{"id":"W1894633441","doi":"10.1111/j.1559-8918.2009.tb00149.x","title":"Artifacts alex taylor (Microsoft Research, UK), Wendy March (Intel Labs, Us) and scott trenovits (gravitytank, US), Curators","year":2009,"lang":"en","type":"article","venue":"Ethnographic Praxis in Industry Conference Proceedings","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Australian Government; U.S. Department of Defense; Northrop Grumman; National Science Foundation","keywords":"Context (archaeology); Citation; Library science; Media studies; Computer science; Sociology; History","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002897647,0.0006002391,0.0005815109,0.003093603,0.0006291481,0.0009528942,0.002248951,0.001575661,0.0001135309],"category_scores_gemma":[0.001349205,0.0006205066,0.00008631896,0.006413531,0.001481008,0.002543281,0.0008335816,0.007118213,0.00004159885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277616,"about_ca_system_score_gemma":0.0002941418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001570861,"about_ca_topic_score_gemma":0.0001560983,"domain_scores_codex":[0.9947406,0.0001493846,0.0009356935,0.001631261,0.001049351,0.00149372],"domain_scores_gemma":[0.9966747,0.0002447069,0.0004438787,0.0006714062,0.001690177,0.0002751086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000213705,0.0008459412,0.3978244,0.0001777118,0.000123532,0.0001804686,0.0129411,0.000002197296,0.1739441,0.2896059,0.008750909,0.11539],"study_design_scores_gemma":[0.003863765,0.003894795,0.5367264,0.002720224,0.00004613435,0.0007060516,0.008063953,0.006068191,0.221138,0.1860753,0.02702535,0.003671905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832414,0.0001376199,0.0008367544,0.008730041,0.0003678286,0.0007720999,0.000009356098,0.0004496397,0.005455242],"genre_scores_gemma":[0.995818,0.00008666934,0.002824773,0.0007074388,0.0001149531,0.0001265889,0.000006857522,0.00002874972,0.0002859709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1389019,"threshold_uncertainty_score":0.9997205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07192125582124095,"score_gpt":0.3534586922504175,"score_spread":0.2815374364291765,"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."}}