{"id":"W4311136286","doi":"10.1111/cid.13164","title":"Cover Image","year":2022,"lang":"en","type":"paratext","venue":"Clinical Implant Dentistry and Related Research","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Digital image analysis; Workflow; Medicine; Image (mathematics); Digital image; Randomized controlled trial; Dentistry; Computer science; Artificial intelligence; Computer vision; Image processing; Surgery; 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":[0.0003282524,0.0007542828,0.0009634454,0.001865937,0.0006052147,0.00235897,0.001173699,0.0024578,0.9134064],"category_scores_gemma":[0.006098365,0.0003597032,0.0007364036,0.0008176371,0.0005227896,0.001448142,0.001105391,0.002202817,0.6462272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008193986,"about_ca_system_score_gemma":0.0006037695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432931,"about_ca_topic_score_gemma":0.001696969,"domain_scores_codex":[0.9995496,0.00005466162,0.00002704393,0.00005856545,0.0002408713,0.00006931458],"domain_scores_gemma":[0.996669,0.001152134,0.0001843403,0.0001651927,0.001202309,0.0006270587],"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":[0.00004906901,0.00002197086,0.00002437153,0.0001202767,0.000001528306,0.00005483767,0.000003024898,0.00001854554,0.0001166172,0.0001957233,0.974881,0.02451304],"study_design_scores_gemma":[0.00009355222,0.00004879196,0.0003844388,0.0002105519,0.000004240665,0.0004634617,0.00001340633,0.0001597115,0.0002280712,0.0006001517,0.9977844,0.00000912504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00116633,0.004401679,0.002693966,0.02523117,0.0572774,0.001210699,0.0228352,0.006207096,0.8789765],"genre_scores_gemma":[0.006817975,0.002120039,0.001449587,0.01058664,0.02418103,0.0004913734,0.006769237,0.001276486,0.9463078],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08659357,"threshold_uncertainty_score":0.1235152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2302541847480278,"score_gpt":0.5866043520565463,"score_spread":0.3563501673085184,"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."}}