{"id":"W2942048304","doi":"10.1111/cid.12781","title":"Immediate loading of multiple splinted implants via complete digital workflow: A pilot clinical study with 1‐year follow‐up","year":2019,"lang":"en","type":"article","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Peking University","keywords":"Impression; Medicine; Dentistry; Implant; Workflow; Orthodontics; Surgery; Computer science","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":[0.001972404,0.001364333,0.001469405,0.000918674,0.0009863945,0.0005113335,0.0008331927,0.001051162,0.003418247],"category_scores_gemma":[0.001454237,0.0007385334,0.001658029,0.0003731539,0.001103165,0.0008054832,0.0008295517,0.001059455,0.0009363983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389049,"about_ca_system_score_gemma":0.0005076973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008027691,"about_ca_topic_score_gemma":0.0009612756,"domain_scores_codex":[0.999226,0.0001243644,0.00008767405,0.0001591528,0.0001969279,0.0002059281],"domain_scores_gemma":[0.9989319,0.0002574858,0.0001974163,0.0002119604,0.000159181,0.0002419709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.06923384,0.3119482,0.2442552,0.0010933,0.0007353431,0.02134217,0.01075567,0.001787717,0.1629853,0.0001936453,0.0009268371,0.1747427],"study_design_scores_gemma":[0.004335096,0.7151402,0.2525885,0.0000638189,0.0004514887,0.00817526,0.002205094,0.001588857,0.01354515,0.0001268849,0.00163309,0.0001466577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993318,0.00007027382,0.0002251182,0.000009213436,0.000008707215,0.0001862345,0.00003860836,0.000008547332,0.0001214823],"genre_scores_gemma":[0.997191,0.0001810547,0.0009487403,0.00005930809,0.00004122791,0.000356568,0.0002125998,0.000005885752,0.001003699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003418247,"threshold_uncertainty_score":0.01143515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539508601769517,"score_gpt":0.4470473681182123,"score_spread":0.2930965079412606,"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."}}