{"id":"W2258806554","doi":"10.1111/iej.12618","title":"Micro‐computed tomography analysis of post space preparation in root canals filled with carrier‐based thermoplasticized gutta‐percha","year":2016,"lang":"en","type":"article","venue":"International Endodontic Journal","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Centre for Phenogenomics; University of British Columbia","funders":"Johnson and Johnson; American Association of Endodontists Foundation","keywords":"Gutta-percha; Computed tomography; Dentistry; Materials science; Orthodontics; Medicine; Radiology; Root canal","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":[0.0004199118,0.0001992722,0.0002299097,0.0003799725,0.0001684721,0.000216162,0.0001743418,0.0004224211,0.001489184],"category_scores_gemma":[0.0009254079,0.000322661,0.0002188042,0.0002449357,0.0004159,0.0002452292,0.0001907211,0.0002591669,0.0002231117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180164,"about_ca_system_score_gemma":0.0002310381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000647154,"about_ca_topic_score_gemma":0.001080819,"domain_scores_codex":[0.999713,0.00003837453,0.00003130527,0.00005185665,0.0001239662,0.00004140532],"domain_scores_gemma":[0.9993308,0.0002020554,0.0001909324,0.00007557687,0.0001554219,0.00004521775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001905202,0.0001060689,0.04090723,0.0001180178,0.00002123245,0.0008023093,0.0004501586,0.00009134701,0.9489371,0.00002743049,0.00003793715,0.006595932],"study_design_scores_gemma":[0.00005797596,0.004544535,0.8053996,0.00002144624,0.00007454078,0.005112191,0.001030494,0.0007387928,0.1819067,0.00003741057,0.001049981,0.00002637002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999335,0.0001694849,0.0003579788,0.000004027453,0.000002832149,0.00001210966,0.00002210505,0.000005129714,0.00009139704],"genre_scores_gemma":[0.9977371,0.0001418818,0.001559548,0.00001619563,0.000003619722,0.0000373702,0.00009600835,0.000005344828,0.0004031233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001489184,"threshold_uncertainty_score":0.004981816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058468837883078,"score_gpt":0.2766720319199164,"score_spread":0.2660873435410855,"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."}}