{"id":"W4205271237","doi":"10.31219/osf.io/cs4pq","title":"The CRAN bayesvl package on U-Toronto Stats","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"R package; Package design; Computer science; Geography; Engineering; Engineering drawing; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006556857,0.0003037363,0.0003331313,0.00003913535,0.0002274945,0.002143382,0.004290764,0.000143836,0.000317846],"category_scores_gemma":[0.0001089236,0.0001904666,0.0002462107,0.0001601702,0.00004862143,0.0003909326,0.004547876,0.0004524319,0.0002410803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002079245,"about_ca_system_score_gemma":0.0002574472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002142352,"about_ca_topic_score_gemma":0.01387051,"domain_scores_codex":[0.9972119,0.0002397905,0.0003640112,0.00103834,0.0007477793,0.0003981826],"domain_scores_gemma":[0.9944605,0.0002932388,0.0001766613,0.004779554,0.0001461941,0.0001439093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002053083,0.0004567706,0.000497198,0.0001201022,0.001245804,0.0004362124,0.00364754,0.0008755205,0.0002283817,0.2696978,0.2705953,0.4521789],"study_design_scores_gemma":[0.001512263,0.0004620894,0.02687201,0.0008153141,0.0004178369,0.00004178891,0.003016357,0.343259,0.008981463,0.04503008,0.5642079,0.005383893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001328708,0.0009810274,0.9017579,0.004304993,0.002058697,0.0002910893,0.0000288863,0.0003582951,0.0888904],"genre_scores_gemma":[0.7927392,0.002823418,0.1476867,0.007352427,0.0008518278,0.0002380986,0.0005104871,0.0001163503,0.04768157],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7914104,"threshold_uncertainty_score":0.9988925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763110601317994,"score_gpt":0.2738896799892896,"score_spread":0.2562585739761096,"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."}}