{"id":"W1969236599","doi":"10.14219/jada.archive.2007.0318","title":"The feasibility of a three-dimensional charting interface for general dentistry","year":2007,"lang":"en","type":"article","venue":"The Journal of the American Dental Association","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"National Center for Research Resources","keywords":"Timeline; Documentation; Computer science; Interface (matter); Chart; Fidelity; User interface; Test (biology); Dentistry; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.005513987,0.0001052665,0.0002223177,0.00003705777,0.0004191999,0.00006165297,0.000768655,0.00003421004,0.00001590819],"category_scores_gemma":[0.002769551,0.00005383691,0.0003419084,0.0002864914,0.000227696,0.0001229627,0.0002284012,0.0003452324,0.00001328742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008933398,"about_ca_system_score_gemma":0.0001163248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003494277,"about_ca_topic_score_gemma":0.001743961,"domain_scores_codex":[0.9975318,0.0003155592,0.0006167726,0.00009125407,0.001103103,0.0003415671],"domain_scores_gemma":[0.9950227,0.00209512,0.002235106,0.0002473074,0.0003127734,0.00008694938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003753812,0.000270865,0.8596748,0.00002590915,0.0005221503,0.00001463907,0.0002611892,0.0002865888,0.1109928,0.0002409956,0.01386949,0.01008673],"study_design_scores_gemma":[0.001205569,0.0003823365,0.9687246,0.00004512509,0.0001326201,0.0003021703,0.001242387,0.0009452394,0.02093711,0.005754237,0.0002166822,0.0001119315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955726,0.000234428,0.002365226,0.0006898036,0.0007826003,0.0002571452,0.00002722034,0.00000602155,0.00006490639],"genre_scores_gemma":[0.9980585,0.000008878442,0.0001420494,0.0002261573,0.0002212307,0.000002057699,0.000001106807,0.0000125037,0.001327532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090498,"threshold_uncertainty_score":0.3315611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03714892263928694,"score_gpt":0.3765888351569965,"score_spread":0.3394399125177096,"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."}}