{"id":"W6887786850","doi":"10.17632/mrxthswngt","title":"Supplemental Materials for JAAD-D-24-02748R1","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Public Health Agency of Canada; University of Toronto","funders":"","keywords":"Work (physics); MEDLINE; Practice management","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003728789,0.002545898,0.002459922,0.003469894,0.0007811293,0.003761761,0.003805031,0.003578566,0.5376486],"category_scores_gemma":[0.03885718,0.001440426,0.004253862,0.004675037,0.0005445762,0.001535579,0.002548223,0.002745163,0.2261261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002348869,"about_ca_system_score_gemma":0.004419028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329364,"about_ca_topic_score_gemma":0.04375417,"domain_scores_codex":[0.9972281,0.0007185226,0.0003800066,0.0006612546,0.0005380865,0.0004740452],"domain_scores_gemma":[0.9793506,0.01197539,0.002480161,0.002432724,0.002386449,0.001374628],"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":[0.0002560048,0.00006548765,0.001715898,0.001350376,0.000260307,0.00002092418,0.0000123333,0.0008876175,0.00004652782,0.0004716802,0.9926968,0.002216006],"study_design_scores_gemma":[0.007329768,0.0002500013,0.01612136,0.002295977,0.0005838603,0.0002269936,0.0001162575,0.002499242,0.0003414445,0.005764745,0.9643486,0.0001217828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007531438,0.00004801342,0.00007275846,0.00008738895,0.00002730712,0.00002190112,0.9990952,0.0001425716,0.0004294678],"genre_scores_gemma":[0.001603343,0.0001123337,0.0008456089,0.0004336517,0.00007133481,0.0005295578,0.9929082,0.000333744,0.003162211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5376486,"threshold_uncertainty_score":0.6594881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101633286312198,"score_gpt":0.3826709304732728,"score_spread":0.272507601842053,"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."}}