{"id":"W4411580184","doi":"10.1111/cid.70063","title":"Predicting Implant Failure and Complications Using Cluster Analysis After Variable Selection: A Retrospective Study","year":2025,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Medicine; Selection (genetic algorithm); Retrospective cohort study; Dentistry; Implant; Implant failure; Case selection; Computer science; Surgery; Artificial intelligence","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":[0.005407744,0.0005262929,0.0006067534,0.00257315,0.0006134388,0.0005406456,0.0006805945,0.0004916912,0.0006595665],"category_scores_gemma":[0.01125599,0.0003981819,0.001198794,0.001891596,0.0006087219,0.0005189486,0.0007742152,0.0004624779,0.0001652421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003995116,"about_ca_system_score_gemma":0.0008859188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003252179,"about_ca_topic_score_gemma":0.002373121,"domain_scores_codex":[0.9962353,0.001698213,0.0004123652,0.0006202567,0.0007552582,0.0002786384],"domain_scores_gemma":[0.991914,0.003926159,0.001450631,0.001359947,0.000975594,0.0003735858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002961388,0.00006940404,0.9912674,0.00002501955,0.00006994324,0.0002241292,0.000260376,0.0004356965,0.0002419871,0.00006849733,0.00009179568,0.006949611],"study_design_scores_gemma":[0.00006278774,0.00176071,0.9767829,0.00005901755,0.0003716775,0.003025371,0.001627345,0.01355041,0.00114465,0.0005375952,0.0009969817,0.00008048431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952859,0.000263011,0.004120382,0.00002068272,0.00000509707,0.00007214541,0.00008301478,0.000009575673,0.0001401169],"genre_scores_gemma":[0.9978673,0.0001339214,0.001713928,0.00001105508,0.000005930675,0.00004758336,0.0001488245,0.000006682781,0.00006471077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005407744,"threshold_uncertainty_score":0.02859926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0714454220634284,"score_gpt":0.4606734192023112,"score_spread":0.3892279971388828,"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."}}