{"id":"W4394359502","doi":"10.6084/m9.figshare.9276677","title":"Glabellar vertical line as a reference goal for anteroposterior maxillary position","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Ophthalmology and Eye Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Line (geometry); Position (finance); Orthodontics; Computer science; Medicine; Mathematics; Business; Geometry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001720967,0.0006942886,0.0003018956,0.001479503,0.0003209533,0.0008000463,0.0006539299,0.0006040276,0.003561206],"category_scores_gemma":[0.005644241,0.0002703423,0.000401855,0.0006877829,0.0004431308,0.0007891949,0.0008373847,0.0005433089,0.001375869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002439642,"about_ca_system_score_gemma":0.0003653646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002195868,"about_ca_topic_score_gemma":0.002321535,"domain_scores_codex":[0.9985274,0.0004609356,0.00009526941,0.0002518246,0.0005764616,0.00008811434],"domain_scores_gemma":[0.9969932,0.0006929822,0.001346539,0.0002253956,0.0006189122,0.0001229612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001118134,0.0001875666,0.8871577,0.0003710122,0.0001174867,0.0007677368,0.001114986,0.0007824562,0.01387792,0.000509761,0.001348139,0.09264709],"study_design_scores_gemma":[0.00003007468,0.001793997,0.9783643,0.0002852313,0.000120854,0.003085219,0.003030878,0.003763929,0.005393146,0.0003418114,0.003746115,0.00004430691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.982896,0.002673434,0.006892459,0.0001509153,0.0001176453,0.00007524604,0.0004638824,0.00009828227,0.006632026],"genre_scores_gemma":[0.9938217,0.0003448256,0.004711259,0.00002903965,0.00002531623,0.00003867552,0.0001909263,0.0000268146,0.0008114465],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.003561206,"threshold_uncertainty_score":0.01191342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06107537479706895,"score_gpt":0.3539773552180149,"score_spread":0.292901980420946,"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."}}