{"id":"W4411658062","doi":"10.51847/dimhes5","title":"10.51847/DIMheS5","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truss; Molar; Molar ratio; Computer science; Orthodontics; Structural engineering; Engineering; Chemistry; Medicine","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007304646,0.0001083196,0.0001162555,0.00009091716,0.00007368753,0.00007551617,0.0002013281,0.00003586117,0.9961118],"category_scores_gemma":[0.00001132589,0.0001123869,0.0001020061,0.0002989964,0.00002936427,0.0001504052,0.00002638915,0.00008248896,0.9956357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001650233,"about_ca_system_score_gemma":0.000006272349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002705741,"about_ca_topic_score_gemma":1.795831e-7,"domain_scores_codex":[0.9992298,0.00002350896,0.0001352291,0.0001995973,0.0001704824,0.0002413927],"domain_scores_gemma":[0.9995584,0.00002182655,0.00001660517,0.0002619323,0.00001586096,0.0001253706],"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":[0.0000429326,0.00004139713,0.00001151941,0.0000038895,0.00001973388,0.00005791305,0.000009645616,0.000008764173,0.0001802427,0.000002015601,0.1115241,0.8880978],"study_design_scores_gemma":[0.0001990686,0.00003507988,0.001834574,0.00001397756,0.00001503302,0.00007870015,0.000001437874,0.00006180535,0.0001110099,0.000005205236,0.997497,0.0001471427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01379458,0.0001055984,0.000001071399,0.0000564049,0.00001048904,0.00009056279,0.00001751443,0.0001607568,0.985763],"genre_scores_gemma":[0.007195788,2.72425e-7,0.00009219388,0.0001114207,0.0001187664,0.000008352717,0.00001298033,0.00002062898,0.9924396],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8879507,"threshold_uncertainty_score":0.4583003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006303682742004122,"score_gpt":0.2038294330880668,"score_spread":0.1975257503460626,"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."}}