{"id":"W2716858008","doi":"10.1590/2177-6709.22.2.030-034.int","title":"An interview with","year":2017,"lang":"en","type":"article","venue":"Dental Press Journal of Orthodontics","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Natural language processing; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001084664,0.0002511077,0.0005311012,0.00009514086,0.0003711444,0.0009868259,0.001185747,0.0001283988,0.00009409362],"category_scores_gemma":[0.0002027534,0.0001912459,0.0002710878,0.00004240068,0.0002154606,0.001306671,0.0001896601,0.0004616837,0.0000254289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003466622,"about_ca_system_score_gemma":0.00006588968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005362907,"about_ca_topic_score_gemma":0.0004210354,"domain_scores_codex":[0.9977334,0.0001824153,0.0007328247,0.0002178591,0.0008150457,0.0003184766],"domain_scores_gemma":[0.9966366,0.0000489667,0.001529593,0.0009496273,0.0004658969,0.000369356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002363639,0.000302482,0.9784538,0.0000676034,0.0002044281,0.0034933,0.0001261779,0.0000493414,0.0003623634,0.001026286,0.000779647,0.01489817],"study_design_scores_gemma":[0.002712311,0.001097556,0.9327813,0.0003513867,0.0005362803,0.004510106,0.0002266512,0.0003514887,0.002351653,0.00006803399,0.05448115,0.0005320876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9628537,0.0007777492,0.02962399,0.00007212642,0.002165613,0.0001371516,0.00003037685,0.00002455696,0.004314684],"genre_scores_gemma":[0.9894298,0.0002797883,0.00864572,0.0001119111,0.0006239027,0.000001371853,0.000004589881,0.00005183061,0.0008511141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05370151,"threshold_uncertainty_score":0.9515985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0667357683772224,"score_gpt":0.3530196929508765,"score_spread":0.2862839245736541,"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."}}