{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007739304,0.00003579647,0.0001454754,0.0001616028,0.00004308094,0.000007320132,0.0008805164,0.00001936122,0.00006687322],"category_scores_gemma":[0.00005562245,0.00002687104,0.00003539833,0.0002111231,0.0001085814,0.001832959,0.00005265576,0.00006233725,0.00001289002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009508567,"about_ca_system_score_gemma":0.00004903125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001508936,"about_ca_topic_score_gemma":7.013471e-7,"domain_scores_codex":[0.9993115,0.00004469332,0.0001986977,0.00004272394,0.0003362363,0.00006613027],"domain_scores_gemma":[0.9991677,0.00005430188,0.0003948908,0.0001415953,0.0001549508,0.00008649397],"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":[0.00003347779,0.000101332,0.03042271,0.0001249078,0.0000946069,0.00006014639,0.04972872,0.0008315774,0.003072126,0.2975053,0.4906911,0.127334],"study_design_scores_gemma":[0.001998881,0.0008512473,0.01448752,0.0001942145,0.000006194264,0.0001554755,0.002563432,0.009569772,0.0007181544,0.0009303491,0.9684401,0.00008472616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03996343,0.00009637691,0.876483,0.01295553,0.0006310301,0.00003881904,2.699628e-7,0.00001464757,0.06981686],"genre_scores_gemma":[0.9915868,0.00002179965,0.007087606,0.0003554642,0.00009224314,1.785244e-9,1.322908e-7,7.7005e-7,0.0008551728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9516234,"threshold_uncertainty_score":0.1636233,"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."}}