{"id":"W4206081986","doi":"10.1111/cid.12990","title":"Cover Image","year":2021,"lang":"en","type":"paratext","venue":"Clinical Implant Dentistry and Related Research","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Digital image analysis; Digital image; Image (mathematics); Computer science; Computer vision; Dentistry; Medicine; Image processing; 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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.001368468,0.0002653326,0.000703986,0.0001888601,0.0001861319,0.0001021834,0.0004129175,0.003189271,0.009411273],"category_scores_gemma":[0.0006120188,0.0002304135,0.0002053872,0.0004223023,0.001196923,0.00005931093,0.0003961195,0.007221524,0.03735263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003403483,"about_ca_system_score_gemma":0.0001650764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004648142,"about_ca_topic_score_gemma":0.000001400132,"domain_scores_codex":[0.9970218,0.0003601555,0.0008125471,0.0005834992,0.0004521321,0.0007698717],"domain_scores_gemma":[0.9977306,0.001161703,0.00005128563,0.0004797638,0.0001407409,0.00043589],"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":[0.00001133871,0.00004980965,0.000001544103,0.000373555,0.0003411547,0.02375605,0.000006623791,0.000002440459,0.00008003724,0.0001719717,0.9619017,0.01330379],"study_design_scores_gemma":[0.0005746381,0.00007629852,0.0000411139,0.0004620999,0.000045416,0.01644789,0.00004665507,0.0004942583,0.0002729451,0.0004539429,0.9808027,0.0002821079],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03975673,0.1287134,0.0004379549,0.0009689968,0.07654491,0.0006780989,0.0007277694,0.0005188865,0.7516532],"genre_scores_gemma":[0.03298547,0.2949247,0.0001376998,0.00007873759,0.0009397781,0.0000383276,0.001315099,0.0001106178,0.6694695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1662113,"threshold_uncertainty_score":0.9981048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07512621952992067,"score_gpt":0.4423544135828823,"score_spread":0.3672281940529616,"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."}}