{"id":"W2062587894","doi":"10.1038/sj.clpt.6100060","title":"Biomedical Communications: Collaborative Research in Scientific Visualization, Online Learning, and Knowledge Translation","year":2007,"lang":"en","type":"review","venue":"Clinical Pharmacology & Therapeutics","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Wilson Centre","funders":"Health Canada","keywords":"Visualization; Data visualization; Computer science; Visual media; Knowledge translation; Scientific communication; Visual communication; Engineering ethics; Medical education; Data science; Multimedia; Knowledge management; Medicine; Library science; Engineering","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":[],"category_scores_codex":[0.003698587,0.0002969097,0.0008661493,0.0009046448,0.0001874403,0.00005583844,0.0005064652,0.0009883699,0.00003692101],"category_scores_gemma":[0.00005613488,0.0002717751,0.0001100155,0.002849442,0.001783663,0.00006709575,0.0001184036,0.002526538,0.00005992498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835086,"about_ca_system_score_gemma":0.0004189386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001222709,"about_ca_topic_score_gemma":0.00001420402,"domain_scores_codex":[0.9963874,0.001255646,0.001229726,0.0004305524,0.000245349,0.0004513442],"domain_scores_gemma":[0.9954389,0.003699318,0.00009955864,0.0003013313,0.00023792,0.0002230181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005781177,0.0005832961,0.00001615749,0.003576498,0.0002139205,0.000002489326,0.0004824426,0.000004867426,0.000008425611,0.00002419547,0.002882868,0.9921991],"study_design_scores_gemma":[0.0004165893,0.00009470568,0.0000167255,0.001213713,0.0003136145,0.000004279978,0.0001073686,0.01202895,0.000001019561,0.00004267078,0.9855258,0.0002345546],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001335456,0.9951695,0.0005522311,0.0003703097,0.002757713,0.0006714757,0.00003281464,0.0001830428,0.0001293275],"genre_scores_gemma":[0.0001741308,0.9972927,0.0007412839,0.0001237395,0.0005946619,0.00009181877,0.0007925749,0.00007301443,0.000116057],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9919645,"threshold_uncertainty_score":0.9999734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5213258929393779,"score_gpt":0.6131139110420502,"score_spread":0.09178801810267223,"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."}}