{"id":"W4232787376","doi":"10.18192/uojm.v4i2.1203","title":"Preface","year":2014,"lang":"en","type":"article","venue":"University of Ottawa Journal of Medicine","topic":"Library Science and Information Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Milestone; Social media; World Wide Web; Volume (thermodynamics); Computer science; Library science; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003292485,0.0009791683,0.0009149928,0.003807369,0.003673521,0.008010027,0.001950224,0.002263738,0.3639899],"category_scores_gemma":[0.023911,0.0004500416,0.0007815962,0.002363334,0.001052913,0.004271496,0.003456208,0.004846596,0.2519289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003098677,"about_ca_system_score_gemma":0.004403038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052055,"about_ca_topic_score_gemma":0.003852784,"domain_scores_codex":[0.997142,0.0004349529,0.0002178889,0.0003564907,0.001586586,0.0002620835],"domain_scores_gemma":[0.9833387,0.001902702,0.0006804878,0.001157763,0.009303348,0.003616988],"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":[0.00001453239,0.00001307313,0.00007040917,0.00007156994,9.22258e-7,0.00002702762,0.00004438551,0.00002193498,0.00005787046,0.001447224,0.9794439,0.01878716],"study_design_scores_gemma":[0.0000022358,0.00001210636,0.0002711006,0.0001155364,8.737986e-7,0.0000454091,0.00006374303,0.00001775748,0.00004957136,0.0008002873,0.9986169,0.000004453418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001354258,0.01026762,0.004008284,0.07819092,0.5659392,0.0008116741,0.006704775,0.002142508,0.3305807],"genre_scores_gemma":[0.007677282,0.007704463,0.002968716,0.02075894,0.1208844,0.0005690401,0.00702905,0.001484882,0.8309233],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3639899,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009271392420955281,"score_gpt":0.1848229949210395,"score_spread":0.1755516025000842,"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."}}