{"id":"W6889929258","doi":"10.3205/21ebm070","title":"Artificial intelligence for dental image analysis: a guide for authors and reviewers","year":2021,"lang":"en","type":"article","venue":"German Medical Science (German Research Foundation)","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Image manipulation; Robustness (evolution); Image (mathematics); Applications of artificial intelligence; Image processing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0347315,0.002538711,0.00371766,0.01289011,0.001558848,0.008905165,0.005463655,0.004004783,0.06449001],"category_scores_gemma":[0.1787885,0.001546492,0.002587333,0.009104362,0.001933366,0.006469037,0.003268353,0.006299817,0.07690983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002648131,"about_ca_system_score_gemma":0.01589124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002714319,"about_ca_topic_score_gemma":0.006365084,"domain_scores_codex":[0.9828084,0.005138178,0.005427215,0.0008201554,0.005399986,0.0004060662],"domain_scores_gemma":[0.6576878,0.07663599,0.01728463,0.01019356,0.231084,0.007113966],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000396967,0.0000277223,0.00008321456,0.003566655,0.00002249676,0.00004369412,0.000109834,0.00009742676,0.0002397698,0.0004461941,0.9253593,0.06996401],"study_design_scores_gemma":[0.00006288715,0.00004780754,0.0004446146,0.006924716,0.00004828066,0.0003197824,0.0001992144,0.0002713637,0.0002275133,0.003850807,0.9875422,0.00006084278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.000910627,0.3543401,0.07439934,0.2332588,0.2514188,0.02129741,0.02120787,0.009403756,0.03376328],"genre_scores_gemma":[0.005230515,0.3383208,0.2116649,0.1019378,0.1580879,0.05165812,0.01568685,0.004959716,0.1124534],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9652685,"threshold_uncertainty_score":0.2157406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0871180536556893,"score_gpt":0.487383078289563,"score_spread":0.4002650246338736,"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."}}