{"id":"W2529054529","doi":"10.1111/cid.12454","title":"Delayed Implants Outcome in Maxillary Molar Region","year":2016,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Implant; Dentistry; Cone beam computed tomography; Molar; Maxillary molar; Orthodontics; Computed tomography; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000445966,0.0002753146,0.000400167,0.0005061291,0.0002238328,0.0004118495,0.0002671337,0.0004023991,0.002364148],"category_scores_gemma":[0.00095237,0.0001917951,0.0003597726,0.0002453997,0.0003300652,0.0002130206,0.0003525925,0.0003963448,0.0001889149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003585135,"about_ca_system_score_gemma":0.0003116074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004083204,"about_ca_topic_score_gemma":0.0007786761,"domain_scores_codex":[0.9997732,0.00002394403,0.00002152996,0.00003365879,0.00009179422,0.00005589168],"domain_scores_gemma":[0.998979,0.0002134492,0.0005940936,0.00003600466,0.00007939572,0.00009809843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006274598,0.0004625553,0.8724737,0.0004517663,0.0001178843,0.02305905,0.0006717468,0.0003544822,0.04829184,0.0001180064,0.0002622612,0.04746204],"study_design_scores_gemma":[0.00005990755,0.002952518,0.9511011,0.00007572806,0.0001520069,0.03757854,0.0005676908,0.0002792654,0.005700927,0.0001747948,0.001342004,0.00001553815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983293,0.001223051,0.00008389994,0.0000227215,0.000006500711,0.00000936655,0.00005365583,0.000003602634,0.0002677337],"genre_scores_gemma":[0.9994082,0.000258991,0.00009400539,0.00001369147,0.000008542209,0.000007631808,0.00005989901,0.000001505746,0.000147549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002364148,"threshold_uncertainty_score":0.007908881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2007608450420321,"score_gpt":0.4913333796852336,"score_spread":0.2905725346432015,"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."}}