{"id":"W4408034488","doi":"10.1016/j.medengphy.2025.104318","title":"Development of a peak insertion torque prediction model for parallel-walled dental implants","year":2025,"lang":"en","type":"article","venue":"Medical Engineering & Physics","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; King Fahd University of Petroleum and Minerals","keywords":"Torque; Biomedical engineering; Orthodontics; Dentistry; Computer science; Materials science; Engineering; Medicine; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517667,0.0001400297,0.0002346469,0.00005261681,0.0000452088,0.00001365165,0.0001774064,0.0001315457,0.00001138418],"category_scores_gemma":[0.00007048759,0.0001345427,0.00009605823,0.0001042354,0.00001641149,0.00008291902,0.00008231004,0.0001346955,0.000006633403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009447741,"about_ca_system_score_gemma":0.0001023145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009556687,"about_ca_topic_score_gemma":0.00002397606,"domain_scores_codex":[0.998894,0.00000550146,0.000393048,0.000169107,0.0003338358,0.0002045289],"domain_scores_gemma":[0.9996416,0.00005193087,0.00005648211,0.0001331408,0.00003610291,0.00008074567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001683399,0.003806997,0.01843058,0.00907146,0.002631195,0.0003608098,0.004598639,0.1054035,0.2989704,0.1356893,0.03811757,0.3812362],"study_design_scores_gemma":[0.001270234,0.00002716709,0.009060167,0.0003539335,0.00004406886,0.00004677815,0.00002868106,0.9683955,0.01820419,0.0004625664,0.001913214,0.0001934955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.372569,0.00002197185,0.6263964,0.0000124433,0.000511842,0.0002000785,0.00003543314,0.0001607163,0.00009209389],"genre_scores_gemma":[0.9794492,0.000009340977,0.01968107,0.00006320907,0.00008257179,0.0001133061,0.0001505722,0.00001878818,0.0004319037],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.862992,"threshold_uncertainty_score":0.5486493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703649046402687,"score_gpt":0.2845298562568579,"score_spread":0.267493365792831,"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."}}