{"id":"W3136983892","doi":"10.1111/aej.12509","title":"Root dentine thickness in C‐shaped lower second molars after instrumentation: A CBCT and micro‐CT study","year":2021,"lang":"en","type":"article","venue":"Australian Endodontic Journal","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Molar; Perforation; Instrumentation (computer programming); Root canal; Dentistry; Materials science; Cone beam computed tomography; Orthodontics; Medicine; Computed tomography; Radiology; Composite material; Computer science","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":[0.0005343441,0.0003770427,0.000430676,0.001144818,0.0003515912,0.0004453978,0.0003561217,0.001070832,0.001937187],"category_scores_gemma":[0.001844243,0.0006513529,0.0004929737,0.0004637623,0.00062389,0.0004101938,0.0003422758,0.000464173,0.0003447768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003886618,"about_ca_system_score_gemma":0.000324021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188628,"about_ca_topic_score_gemma":0.00475229,"domain_scores_codex":[0.9997171,0.00003557923,0.00002974361,0.00005061522,0.00009785507,0.00006904947],"domain_scores_gemma":[0.9989498,0.0002997373,0.0003830414,0.0001008721,0.0001555084,0.0001109863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007139243,0.0005152972,0.6570078,0.0002742518,0.0001266455,0.02543204,0.002519955,0.0004112867,0.2801708,0.00006395048,0.0001794237,0.02615932],"study_design_scores_gemma":[0.00002322414,0.0006513237,0.9820549,0.00001270039,0.00004252181,0.01078061,0.0004412508,0.0001696809,0.005476498,0.00001888739,0.0003058825,0.00002255452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994642,0.000176715,0.0001335384,0.000007256254,0.000001867378,0.00001233335,0.00003685409,0.000004966722,0.0001622869],"genre_scores_gemma":[0.9992712,0.0001287959,0.0002522779,0.00001731764,0.000005070522,0.00001081385,0.00007166479,0.000004515583,0.0002383474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003188628,"threshold_uncertainty_score":0.006480515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131561302234054,"score_gpt":0.2946257121629948,"score_spread":0.2733100991406542,"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."}}