{"id":"W4249561213","doi":"10.4018/978-1-59904-955-7.ch001","title":"Going Virtual","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Function (biology); Affect (linguistics); Business; Computer science; Psychology; Biology; Communication; Cell biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001597894,0.0006979503,0.0004108699,0.0006367493,0.00840803,0.01029302,0.001745494,0.002449469,0.2917911],"category_scores_gemma":[0.005281244,0.0003844099,0.0009159052,0.0006290813,0.001897568,0.01071311,0.008409609,0.004907818,0.1092176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600442,"about_ca_system_score_gemma":0.003118748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004837036,"about_ca_topic_score_gemma":0.007688866,"domain_scores_codex":[0.9987013,0.0003566901,0.00003714071,0.0002127415,0.0003373199,0.0003547488],"domain_scores_gemma":[0.9969175,0.0002367594,0.00009549837,0.0004308254,0.0006633998,0.001656036],"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":[0.00006753855,0.0001768273,0.0005863765,0.0001223558,0.00001340806,0.0003684845,0.005082761,0.0002202213,0.001199245,0.1325048,0.7533566,0.1063014],"study_design_scores_gemma":[0.0000037632,0.00002783863,0.0001818703,0.000045341,0.000004168196,0.0001064055,0.002211144,0.00008046061,0.0001873545,0.00872263,0.9884197,0.000009294709],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005780501,0.0006647031,0.02935892,0.02472709,0.01073811,0.0002477742,0.0004020078,0.001886649,0.9261943],"genre_scores_gemma":[0.05891617,0.0009829701,0.01601861,0.01103653,0.001686791,0.0002096836,0.000722725,0.001809018,0.9086174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2917911,"threshold_uncertainty_score":0.9761386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048082460251921,"score_gpt":0.3364014598013728,"score_spread":0.2315932137761808,"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."}}