{"id":"W2108755654","doi":"10.1016/j.cmpb.2015.04.011","title":"What are the most popular topics of CMPB in the past 3 years?","year":2015,"lang":"en","type":"editorial","venue":"Computer Methods and Programs in Biomedicine","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Data science","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006960951,0.002506879,0.003598973,0.009044886,0.002408174,0.009937004,0.002455315,0.010608,0.01261067],"category_scores_gemma":[0.03156073,0.0008596216,0.002570133,0.004360401,0.002449901,0.005167084,0.00201855,0.01031325,0.007058432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003552631,"about_ca_system_score_gemma":0.004365689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002042783,"about_ca_topic_score_gemma":0.007511857,"domain_scores_codex":[0.9943985,0.0007985458,0.0008826958,0.0005448178,0.002997989,0.0003773729],"domain_scores_gemma":[0.9704389,0.008410289,0.002346305,0.0003976731,0.01417177,0.004234985],"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":[0.00005616877,0.000017885,0.00009569075,0.001318975,0.00002991845,0.0001069146,0.00001876879,0.00002468097,0.00007419116,0.0002729355,0.9624135,0.03557034],"study_design_scores_gemma":[0.00005777086,0.00003434559,0.0006257212,0.001906964,0.00009390058,0.0003411777,0.0001075412,0.0001169128,0.00009562667,0.0005560601,0.9960373,0.0000266353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004678103,0.03483343,0.0001022313,0.03204672,0.9320233,0.00001042232,0.00004282425,0.00003401416,0.0008601862],"genre_scores_gemma":[0.0004183583,0.03411678,0.0001626331,0.01920597,0.9428167,0.00002123826,0.00004476724,0.00002712899,0.003186412],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9909551,"threshold_uncertainty_score":0.04218692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06529405789231722,"score_gpt":0.3968839133169256,"score_spread":0.3315898554246084,"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."}}