{"id":"W4253746475","doi":"10.1111/cid.12837","title":"Front Cover","year":2019,"lang":"en","type":"paratext","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front cover; Cover (algebra); Dentistry; Peri-implantitis; Medicine; Dental alveolus; Implant; Front (military); Resorption; Surgery; Engineering; Pathology; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002833907,0.0008464927,0.0007189925,0.001605148,0.001097554,0.003213536,0.0008642664,0.002243941,0.9502321],"category_scores_gemma":[0.00149485,0.0003722764,0.0006931832,0.0008368056,0.0004044709,0.001489312,0.001464221,0.001728991,0.8889551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007024257,"about_ca_system_score_gemma":0.0005526161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008221325,"about_ca_topic_score_gemma":0.001554359,"domain_scores_codex":[0.999671,0.00002092616,0.00001399492,0.00006456459,0.0001727553,0.00005678623],"domain_scores_gemma":[0.9988114,0.0001693125,0.0000471828,0.0001258977,0.0005024194,0.000343772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003485016,0.00003902716,0.00006384301,0.0001490413,0.000001897027,0.00007245719,0.000009267694,0.00003901231,0.001193964,0.0009684399,0.9272298,0.07019839],"study_design_scores_gemma":[0.000008845823,0.00001572526,0.0002734823,0.00005019804,0.000001132479,0.000121354,0.00001472781,0.00004852266,0.0002676502,0.0003306688,0.9988636,0.000004023527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004429993,0.001025588,0.0008995414,0.001920054,0.00990042,0.0001462266,0.002598003,0.001903185,0.981164],"genre_scores_gemma":[0.001300493,0.0004906935,0.000252,0.0007832925,0.00123268,0.00003583725,0.001112818,0.0003005537,0.9944916],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04976791,"threshold_uncertainty_score":0.07098788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500084381358603,"score_gpt":0.496617704946531,"score_spread":0.3466092668106706,"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."}}