{"id":"W3026454188","doi":"10.3390/app10103513","title":"Digital Design of Minimally Invasive Endodontic Access Cavity","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dentin; Cone beam computed tomography; Orthodontics; Dentistry; Computer science; Computed tomography; Medicine; Surgery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001284833,0.0001208334,0.0002083737,0.00004432947,0.0001276208,0.0002184625,0.0006313191,0.00003804273,0.00006761129],"category_scores_gemma":[0.0001312266,0.00009382675,0.00005575406,0.0004224465,0.0002925404,0.0002675022,0.0001741982,0.00006194264,0.0001292751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001511657,"about_ca_system_score_gemma":0.0001384615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001928473,"about_ca_topic_score_gemma":0.0000238893,"domain_scores_codex":[0.9988034,0.00001807939,0.0002175584,0.0003313796,0.0004110285,0.0002185106],"domain_scores_gemma":[0.9993271,0.0002488628,0.0001389376,0.0001225787,0.00003870623,0.0001238552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006988541,0.001149392,0.5431777,0.0004769346,0.0007057282,0.0008924257,0.003267852,0.006507968,0.3536034,0.03148262,0.01745935,0.04057781],"study_design_scores_gemma":[0.005957713,0.001966884,0.15096,0.0001520304,0.0003753427,0.00007096808,0.002622215,0.003589085,0.818864,0.009964827,0.003647616,0.00182933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410213,0.00008776842,0.002623075,0.0002317139,0.0001502146,0.0003388645,0.00004579499,0.00004610882,0.05545514],"genre_scores_gemma":[0.9983297,0.000007038437,0.001222341,0.000190909,0.00004336895,0.00001215065,0.000003816298,0.000007289801,0.0001834017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4652606,"threshold_uncertainty_score":0.3826144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08839521697422971,"score_gpt":0.3057782906943415,"score_spread":0.2173830737201118,"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."}}