{"id":"W7084148382","doi":"10.6084/m9.figshare.26771080.v2","title":"Optimizing Assessment Reliability of Communication Skills in Clinical Dentistry: A Generalizability Study","year":2025,"lang":"en","type":"dataset","venue":"Figshare","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalizability theory; Reliability (semiconductor); Adaptation (eye); Communication skills; Psychometrics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01291823,0.00165754,0.001206659,0.001725136,0.001036494,0.0017572,0.003658956,0.002154938,0.01242474],"category_scores_gemma":[0.05909359,0.0005452603,0.001874356,0.001802164,0.000850404,0.0009004282,0.002416461,0.002053316,0.01585711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809481,"about_ca_system_score_gemma":0.002423484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01323222,"about_ca_topic_score_gemma":0.03365308,"domain_scores_codex":[0.9938958,0.002566773,0.0006832818,0.001424768,0.001108686,0.0003206627],"domain_scores_gemma":[0.9738727,0.01312315,0.00124934,0.006250522,0.005004127,0.0005001831],"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":[0.001216101,0.000545525,0.03364152,0.001634021,0.000577721,0.00008654282,0.0002107979,0.004093336,0.0006669763,0.000977878,0.9140031,0.04234639],"study_design_scores_gemma":[0.006489084,0.001028416,0.2383931,0.001877427,0.001549712,0.000880774,0.000797865,0.03953878,0.007378362,0.01024354,0.6913694,0.0004534631],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03140972,0.0007476123,0.01076225,0.001427209,0.0003665301,0.001070234,0.9455779,0.003792122,0.004846462],"genre_scores_gemma":[0.0361677,0.0001373189,0.0141797,0.0006348031,0.00007025996,0.003070288,0.9425696,0.0004661278,0.002704312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01323222,"threshold_uncertainty_score":0.06831896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09384911183288021,"score_gpt":0.4154050299460544,"score_spread":0.3215559181131742,"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."}}