{"id":"W3169282809","doi":"10.1016/j.jbiomech.2021.110570","title":"A finite element model for evaluating the effectiveness of the Advanced System for Implant Stability Testing (ASIST)","year":2021,"lang":"en","type":"article","venue":"Journal of Biomechanics","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Alberta","keywords":"Finite element method; Structural engineering; Stability (learning theory); Computer science; Implant; Reliability engineering; Engineering; Medicine; Surgery; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004969273,0.0005255092,0.0005129505,0.000549749,0.0003388179,0.0005320358,0.001189783,0.001564672,0.00462297],"category_scores_gemma":[0.001196128,0.000414547,0.0005968653,0.0003385643,0.0003337369,0.0003681666,0.0003712145,0.0003944342,0.0006794799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003132997,"about_ca_system_score_gemma":0.0008751475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004436628,"about_ca_topic_score_gemma":0.00540129,"domain_scores_codex":[0.9997377,0.00005408931,0.00002017124,0.00002648404,0.0001423606,0.00001912813],"domain_scores_gemma":[0.999531,0.0002558674,0.00003701538,0.00003530636,0.0001270108,0.00001378488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001745975,0.0001405129,0.001344177,0.0001214796,0.00002317407,0.0001307758,0.00009221582,0.9445816,0.01787764,0.002649421,0.0007240275,0.03214036],"study_design_scores_gemma":[0.00001567125,0.00009351377,0.0003242627,0.0000113702,0.00001287671,0.00004464729,0.00002170306,0.9964902,0.001877233,0.0002473664,0.0008535689,0.000007603171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1657184,0.0002421443,0.8196127,0.0002231521,0.000112057,0.000326031,0.0008767582,0.0009639174,0.01192482],"genre_scores_gemma":[0.7766794,0.0001993735,0.2152794,0.00006948271,0.00001375307,0.000496963,0.0006473114,0.00009974623,0.006514484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00462297,"threshold_uncertainty_score":0.01546538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09185278275605191,"score_gpt":0.3679267053269485,"score_spread":0.2760739225708966,"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."}}