{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004408552,0.0005592899,0.0004237355,0.000870338,0.000629936,0.002053721,0.001896774,0.001446404,0.01917114],"category_scores_gemma":[0.01933141,0.000577322,0.0007509996,0.0004603175,0.0006565562,0.002390962,0.001605094,0.00125636,0.001970209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005098194,"about_ca_system_score_gemma":0.001349209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168403,"about_ca_topic_score_gemma":0.001738436,"domain_scores_codex":[0.9979837,0.000612966,0.0001748802,0.0001588968,0.0009587684,0.0001107438],"domain_scores_gemma":[0.9817473,0.01152035,0.0003524401,0.001577655,0.004108462,0.0006937975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003793222,0.0005823231,0.009266262,0.0008111654,0.00005547054,0.0008420784,0.001888569,0.003273825,0.2354268,0.01065802,0.02407608,0.7093262],"study_design_scores_gemma":[0.001375921,0.006774719,0.05444447,0.000853884,0.000557765,0.01238846,0.002127456,0.2553015,0.4007683,0.0182699,0.2460302,0.001107346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09125095,0.0009026811,0.8862182,0.002392174,0.001140521,0.0009532531,0.0006307725,0.008962058,0.007549419],"genre_scores_gemma":[0.2667761,0.0004300903,0.7226729,0.0009811459,0.0002057804,0.0007545275,0.0004365007,0.0009970411,0.00674597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01917114,"threshold_uncertainty_score":0.06413388,"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."}}