{"id":"W2044234652","doi":"10.1007/s10815-013-9957-5","title":"Meeting organizers welcome","year":2013,"lang":"en","type":"article","venue":"Journal of Assisted Reproduction and Genetics","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Reproductive medicine; Human genetics; Library science; Medicine; Biology; Computational biology; Gynecology; Political science; Computer science; Genetics; Pregnancy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001064354,0.00006162416,0.0001913836,0.0001311428,0.00005997558,0.0000237178,0.00003416536,0.00006451122,0.0001841999],"category_scores_gemma":[0.01027329,0.00004210044,0.00004101556,0.0001852764,0.00006925463,0.00005985497,0.00001563904,0.0003248866,0.00001894427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000552728,"about_ca_system_score_gemma":0.0006859213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009766709,"about_ca_topic_score_gemma":4.129601e-7,"domain_scores_codex":[0.9987848,0.00005347534,0.0003712315,0.0001165184,0.0004191988,0.0002547992],"domain_scores_gemma":[0.9973261,0.0000414214,0.0001719114,0.000156585,0.000489485,0.001814543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002428732,0.0003948022,0.02025225,0.0004104315,0.0001522229,0.0001014444,0.0004186433,0.000008831317,0.1040652,0.000015967,0.1460039,0.7279334],"study_design_scores_gemma":[0.00435961,0.003296712,0.4869628,0.0004923392,0.0001658738,0.009673126,0.001300522,0.000173195,0.04155249,0.0002804376,0.4515465,0.0001963902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200687,0.002254925,0.0001034166,0.07587475,0.0004975774,0.000159947,2.020094e-7,0.000009477344,0.001030942],"genre_scores_gemma":[0.9875062,0.003069857,0.004939298,0.001534894,0.001369871,0.000001066185,8.424712e-7,0.00001283261,0.001565136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.727737,"threshold_uncertainty_score":0.9980636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09369593422516105,"score_gpt":0.3798511403592477,"score_spread":0.2861552061340867,"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."}}