{"id":"W4391323964","doi":"10.3390/healthcare12030332","title":"Lower Jaw Full-Arch Restoration: A Completely Digital Approach to Immediate Load","year":2024,"lang":"en","type":"article","venue":"Healthcare","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Medicine; Dentistry; Dental implant; Bridge (graph theory); Dental arch; Implant; Computer science; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003856911,0.0007966396,0.0002790635,0.001446486,0.0009859435,0.001649218,0.0009944035,0.00162097,0.005357349],"category_scores_gemma":[0.0007117498,0.0003541454,0.0007744801,0.0004491606,0.001593741,0.001356093,0.001782791,0.001671816,0.001427293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005646739,"about_ca_system_score_gemma":0.0008047249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000574675,"about_ca_topic_score_gemma":0.001937439,"domain_scores_codex":[0.9996941,0.00002663907,0.00002675094,0.00005137363,0.0001402814,0.00006093565],"domain_scores_gemma":[0.9998813,0.00003383456,0.00001874304,0.0000342921,0.000008407176,0.000023401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003030203,0.001021475,0.00564596,0.001379254,0.00007979689,0.1076251,0.001261372,0.00192162,0.07608292,0.01838982,0.008178881,0.7781109],"study_design_scores_gemma":[0.00008195543,0.0006226507,0.007460746,0.0003135378,0.00009867956,0.861791,0.0004967571,0.003800866,0.01945636,0.009166156,0.09661286,0.0000985369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5381311,0.04669499,0.2550839,0.018658,0.002973694,0.0006025974,0.0003388643,0.002848784,0.134668],"genre_scores_gemma":[0.8447602,0.01240101,0.1175902,0.002666979,0.0009851068,0.0000836352,0.0001209809,0.0001884285,0.02120356],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005357349,"threshold_uncertainty_score":0.01792216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06857260941519905,"score_gpt":0.3570677821184557,"score_spread":0.2884951727032567,"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."}}