{"id":"W2128953411","doi":"10.1111/cid.12343","title":"Health, Maintenance, and Recovery of Soft Tissues around Implants","year":2015,"lang":"en","type":"review","venue":"Clinical Implant Dentistry and Related Research","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Osseointegration; Soft tissue; Dentistry; Implant; Medicine; Peri-implantitis; Process (computing); 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":[0.0007168702,0.0006954137,0.001132866,0.003460893,0.0003144329,0.0009550715,0.000709014,0.001055038,0.001561181],"category_scores_gemma":[0.001478989,0.000238073,0.0006170639,0.002131417,0.0006257992,0.001009244,0.0005462684,0.0007345505,0.0004782902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004500997,"about_ca_system_score_gemma":0.00135296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001304331,"about_ca_topic_score_gemma":0.001703693,"domain_scores_codex":[0.9994013,0.00008851122,0.0001489606,0.00006668631,0.0002561843,0.0000384236],"domain_scores_gemma":[0.9993883,0.0002784799,0.0001644739,0.00001175263,0.0001339525,0.0000229968],"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":[0.00007739772,0.00007875967,0.0008120302,0.1090816,0.0001867297,0.0004643409,0.000189406,0.0002390433,0.003513845,0.001466581,0.007255355,0.8766349],"study_design_scores_gemma":[0.00004124691,0.0004501503,0.01621958,0.06472078,0.001060694,0.01335461,0.0008364326,0.0001861888,0.00492854,0.003076124,0.895046,0.00007980443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001844598,0.9994116,0.00003983501,0.00007010605,0.00004708974,0.00000399166,0.000008049677,0.000002231706,0.0002326473],"genre_scores_gemma":[0.001657082,0.9979706,0.0001194215,0.00005326657,0.00005467467,0.000006516906,0.00001112231,6.370378e-7,0.0001266682],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003460893,"threshold_uncertainty_score":0.005222738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2886562986647792,"score_gpt":0.5526868075050365,"score_spread":0.2640305088402573,"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."}}