{"id":"W2007249302","doi":"10.1145/1796390.1796392","title":"SIGWEB","year":2010,"lang":"en","type":"article","venue":"ACM SIGWEB Newsletter","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publicity; Face (sociological concept); Hypertext; Political science; Executive committee; Library science; Public relations; World Wide Web; Computer science; Management; Sociology; Law; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0009018441,0.0001750127,0.0001402439,0.0001943454,0.0001509896,0.002615574,0.007335086,0.00008072198,0.0007017866],"category_scores_gemma":[0.001654759,0.0001522575,0.00006747316,0.0004652152,0.00008900672,0.02124874,0.003289078,0.0006909328,0.002822511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001439308,"about_ca_system_score_gemma":0.00004918053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007409071,"about_ca_topic_score_gemma":0.00004488478,"domain_scores_codex":[0.9977779,0.0001121275,0.0002269166,0.0006742183,0.000640386,0.0005683847],"domain_scores_gemma":[0.9948978,0.0005471865,0.0001005712,0.004209975,0.00006927206,0.0001751877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008689107,0.0001205591,0.003785851,0.00002212407,0.00005815518,0.0002456297,0.0001465257,0.00000255194,0.1095978,0.1704908,0.6707214,0.04479983],"study_design_scores_gemma":[0.0002452077,0.00003723301,0.003594935,0.000003369009,0.000005686578,0.00001627119,0.000004395823,0.0006856142,0.003570801,0.002526541,0.9890839,0.0002260078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1415408,0.00006975496,0.243013,0.4481,0.004011136,0.0009778535,0.00001021367,0.001128242,0.161149],"genre_scores_gemma":[0.6186429,0.00008811393,0.2828977,0.05790778,0.001590403,0.0001229722,0.00002601267,0.00006370327,0.03866041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4771021,"threshold_uncertainty_score":0.9984198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05927339957648597,"score_gpt":0.3384349824444073,"score_spread":0.2791615828679214,"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."}}