{"id":"W2774526168","doi":"10.15863/tas.2017.11.55.15","title":"TECHNOLOGICAL SUPPLY OF ADDITIVE TECHNOLOGIES FOR RECONSTRUCTION OF FACE SKELET","year":2017,"lang":"en","type":"article","venue":"Theoretical & Applied Science","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"","keywords":"Face (sociological concept); Business; Computer science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007350617,0.0001146327,0.0002318637,0.0003558864,0.0005197076,0.00007211728,0.001331227,0.0001785844,0.00006563929],"category_scores_gemma":[0.001691849,0.00009138407,0.0000449192,0.000628429,0.02857989,0.0003863033,0.0005285268,0.0001831383,0.00001765312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366433,"about_ca_system_score_gemma":0.00002756113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006186808,"about_ca_topic_score_gemma":0.00000157328,"domain_scores_codex":[0.9989385,0.000001588489,0.0002748744,0.0003062022,0.000200033,0.0002787778],"domain_scores_gemma":[0.9985911,0.0001006656,0.0003942817,0.0006364092,0.0002722648,0.000005234298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000199212,0.00003549544,0.000701331,0.00001781702,0.000004370951,1.728165e-7,0.000004997799,4.263928e-7,0.0423325,0.8697059,0.00005796605,0.0871191],"study_design_scores_gemma":[0.0002477906,0.00002456841,0.001605653,0.00003029343,0.00001901925,0.000001759517,0.001326131,0.0004083349,0.1689805,0.8267938,0.0004474321,0.0001147292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8829992,0.00001034101,0.02484051,0.00888004,0.0001410575,0.0007599255,0.00003325933,0.0005113817,0.0818243],"genre_scores_gemma":[0.9951466,0.000005183335,0.004664144,0.00006608871,0.00002713358,0.00007345021,0.000003933292,0.000006482456,0.000006986998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.126648,"threshold_uncertainty_score":0.9740638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522629267325049,"score_gpt":0.2615645113048052,"score_spread":0.2463382186315547,"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."}}