{"id":"W4245816202","doi":"10.5596/c07-035","title":"Web 3.0 and health librarians: an introduction","year":2008,"lang":"fr","type":"article","venue":"Journal of the Canadian Health Libraries Association / Journal de l Association de bilbiothèques de la santé du Canada","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stornoway Diamond (Canada)","funders":"","keywords":"World Wide Web; Social Semantic Web; Semantic Web; Computer science; Web standards; Data Web; Web modeling; Web development; Web intelligence; Semantic Web Stack; Web design; Web page; Theme (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007441422,0.0002968411,0.0006126582,0.0002134172,0.001719045,0.0007146363,0.0005388386,0.0009028752,0.00009802936],"category_scores_gemma":[0.005182059,0.0002712549,0.0002189934,0.0003884177,0.0001940335,0.0002090881,0.00006419932,0.001593177,5.403058e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01631551,"about_ca_system_score_gemma":0.08987343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2001288,"about_ca_topic_score_gemma":0.5475133,"domain_scores_codex":[0.992388,0.004026221,0.001233841,0.0002545267,0.0007781044,0.001319348],"domain_scores_gemma":[0.9933426,0.0005179978,0.003455266,0.000223875,0.0005253853,0.001934842],"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":[0.00003840247,0.00005321712,0.1940968,0.00005453537,0.0003113266,0.00007059079,0.001633803,0.0001033781,0.00004321519,0.0004616961,0.7964535,0.006679533],"study_design_scores_gemma":[0.0008538972,0.000478123,0.1355864,0.0001117584,0.00004966494,0.003695161,0.0007083229,0.0002061847,0.00009669773,0.0008462684,0.8571357,0.0002317513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2140122,0.3019436,0.0003157997,0.477826,0.005017797,0.0002363076,0.0003803416,0.00001764517,0.0002503236],"genre_scores_gemma":[0.7053673,0.2148897,0.007970616,0.05156888,0.01569783,0.000005131793,0.00005631208,0.00008734303,0.004356918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4913551,"threshold_uncertainty_score":0.999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008525527470714053,"score_gpt":0.2502676848678049,"score_spread":0.2417421573970909,"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."}}