{"id":"W4385563632","doi":"10.1002/jdd.13348","title":"Introducing ClinicGPT: A custom large language model for institutional dental clinics","year":2023,"lang":"en","type":"article","venue":"Journal of Dental Education","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Library science; Medicine; History; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.002848261,0.0008987521,0.0005798393,0.001102823,0.001239896,0.003489257,0.003450476,0.001234957,0.1344689],"category_scores_gemma":[0.009508661,0.001016247,0.001069014,0.0007671773,0.0007254847,0.003742576,0.006375202,0.002113099,0.0544886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576857,"about_ca_system_score_gemma":0.004270724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003750835,"about_ca_topic_score_gemma":0.006339768,"domain_scores_codex":[0.9974541,0.0008167691,0.0002467399,0.0004664287,0.000663525,0.0003524763],"domain_scores_gemma":[0.9900842,0.002943037,0.0003298518,0.002115312,0.001395304,0.003132228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003224669,0.00248198,0.009062196,0.000737918,0.0001093818,0.002092639,0.005579531,0.003014551,0.04190002,0.0103331,0.4081863,0.5132778],"study_design_scores_gemma":[0.001070522,0.001185469,0.008107455,0.0002900867,0.0001563234,0.002339969,0.002486593,0.0317649,0.02106909,0.008528431,0.9223945,0.0006066377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07853299,0.000270059,0.4496039,0.004357502,0.001717916,0.006202477,0.0113872,0.3232676,0.1246603],"genre_scores_gemma":[0.2636803,0.0003079384,0.540515,0.004990664,0.0005813317,0.005689083,0.01135783,0.03995301,0.1329248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1344689,"threshold_uncertainty_score":0.4498434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03985904071587913,"score_gpt":0.4406098525978067,"score_spread":0.4007508118819275,"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."}}