{"id":"W4253156289","doi":"10.1111/cid.12811","title":"Cover Image","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":"Cover (algebra); Maxilla; Medicine; Dentistry; Cone beam computed tomography; Orthodontics; Computed tomography; Radiology; 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":[0.0003062869,0.0008310355,0.0008011192,0.001618922,0.00089324,0.00244102,0.001044615,0.00291198,0.8722457],"category_scores_gemma":[0.006378189,0.0003526907,0.0005491127,0.000815399,0.0005891897,0.001857224,0.001500591,0.00235826,0.6406065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008057956,"about_ca_system_score_gemma":0.0005533477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516333,"about_ca_topic_score_gemma":0.002155398,"domain_scores_codex":[0.9995601,0.00004257283,0.00002713275,0.00006361192,0.0002353559,0.00007121459],"domain_scores_gemma":[0.9968662,0.0009756429,0.0001597945,0.0001986564,0.001179877,0.0006198079],"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":[0.0000167637,0.00001535694,0.000041353,0.00004624837,8.141875e-7,0.0001095346,0.000004902075,0.00002066356,0.00009689143,0.0002426099,0.9806537,0.01875107],"study_design_scores_gemma":[0.00001432494,0.00001487579,0.0002904657,0.00006474839,0.0000011163,0.0004925954,0.00001754938,0.000109795,0.0001163879,0.0003718479,0.9985008,0.000005568589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009440245,0.002137099,0.001737374,0.02199154,0.07273167,0.0004148365,0.007735049,0.003456884,0.8888515],"genre_scores_gemma":[0.004595938,0.001241305,0.0006060277,0.008387924,0.01854609,0.0001342251,0.002410215,0.0007539965,0.9633243],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1277543,"threshold_uncertainty_score":0.1822259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1367169325426918,"score_gpt":0.5018640707001008,"score_spread":0.3651471381574089,"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."}}