{"id":"W2008169899","doi":"10.2196/medinform.2671","title":"An Intelligent Content Discovery Technique for Health Portal Content Management","year":2014,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Government","keywords":"Computer science; Content (measure theory); Content management; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003458202,0.000884418,0.0009279635,0.007591827,0.001532621,0.002587299,0.001718693,0.001360155,0.003338522],"category_scores_gemma":[0.01056833,0.0005348078,0.00130656,0.005425806,0.001006695,0.00328929,0.002172256,0.00120335,0.002206178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415751,"about_ca_system_score_gemma":0.001897455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236269,"about_ca_topic_score_gemma":0.002884567,"domain_scores_codex":[0.995146,0.001393962,0.0004681965,0.0007681762,0.001993018,0.0002306625],"domain_scores_gemma":[0.9915235,0.00380349,0.000767582,0.001430486,0.002261462,0.0002134041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004497646,0.0006415225,0.003321264,0.0004966874,0.000122341,0.0005037361,0.001855759,0.008091203,0.05954427,0.01985026,0.009083486,0.8960397],"study_design_scores_gemma":[0.0002017334,0.0006738732,0.004215227,0.0001225973,0.0002856002,0.002419401,0.00130527,0.7642713,0.137942,0.02734839,0.06101698,0.0001977646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0158225,0.0001299242,0.976143,0.0002881772,0.00003390353,0.0005586259,0.0002582221,0.004515287,0.002250432],"genre_scores_gemma":[0.0799768,0.00008939458,0.9161837,0.0000777116,0.00003613611,0.0002929076,0.0005587623,0.000170992,0.002613542],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007591827,"threshold_uncertainty_score":0.01828891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0393838111215607,"score_gpt":0.339064812332708,"score_spread":0.2996810012111473,"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."}}