{"id":"W6912166139","doi":"10.5281/zenodo.14505518","title":"Поєднання ретельного медичного обстеження та використання макіяжу в естетичній медицині для досягнення оптимальних результатів корекції зовнішності (огляд літератури)","year":2024,"lang":"uk","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Body Image and Dysmorphia Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006220885,0.0007452087,0.0006205302,0.003235423,0.005787631,0.02089578,0.001605223,0.004192466,0.06097258],"category_scores_gemma":[0.01609078,0.0008830009,0.001072333,0.003303595,0.009917078,0.01093638,0.006032487,0.005309535,0.02677208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006935833,"about_ca_system_score_gemma":0.01462099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01203301,"about_ca_topic_score_gemma":0.01565158,"domain_scores_codex":[0.9902408,0.002607343,0.0005769325,0.001172562,0.004360291,0.001042134],"domain_scores_gemma":[0.990973,0.002415827,0.0007921212,0.001024838,0.003516482,0.001277799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000122366,0.00013139,0.004911627,0.0007596112,0.00004539998,0.0005485663,0.009833667,0.0006254314,0.001593117,0.7341746,0.1153077,0.1319464],"study_design_scores_gemma":[0.0000254678,0.00004664204,0.003781167,0.0007461773,0.00004210447,0.0004304242,0.006591535,0.0004256554,0.001452782,0.1356147,0.8507611,0.00008225829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01889256,0.01499057,0.02364526,0.0564273,0.003207786,0.000257332,0.001421252,0.0005139952,0.8806439],"genre_scores_gemma":[0.5190552,0.02527774,0.04151091,0.01107441,0.002334793,0.0008970551,0.001869814,0.001362576,0.3966175],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.06097258,"threshold_uncertainty_score":0.2039737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05499142814952938,"score_gpt":0.3058375883658044,"score_spread":0.250846160216275,"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."}}