{"id":"W4410389263","doi":"10.52058/2708-7530-2025-4(58)-346-361","title":"ФІНАНСОВИЙ МЕХАНІЗМ ЗАБЕЗПЕЧЕННЯ ДЕРЖАВНИХ ПРОГРАМ СКРИНІНГУ В МАМОЛОГІЇ У СИСТЕМІ ОХОРОНИ ЗДОРОВ’Я","year":2025,"lang":"uk","type":"article","venue":"Наукові перспективи (Naukovì perspektivi)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002006229,0.0004042757,0.0002361608,0.001428208,0.00233939,0.006824566,0.0006215578,0.001325338,0.01958134],"category_scores_gemma":[0.004349717,0.00045802,0.0003240769,0.001355048,0.004321656,0.003592534,0.002098885,0.001790355,0.006360435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889589,"about_ca_system_score_gemma":0.00496595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00555601,"about_ca_topic_score_gemma":0.008686922,"domain_scores_codex":[0.9980088,0.0005051561,0.00009204631,0.0002682332,0.0008994987,0.0002261599],"domain_scores_gemma":[0.9979383,0.0005936983,0.0002290806,0.0003093516,0.0006683869,0.0002611674],"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":[0.00009328395,0.0000750363,0.002996077,0.0003921699,0.00002803995,0.0006334374,0.009600502,0.0009812542,0.007325805,0.8387591,0.01491733,0.1241979],"study_design_scores_gemma":[0.00003259624,0.0001105841,0.006849705,0.0004282137,0.00004632095,0.0008448763,0.008879237,0.001028402,0.008122838,0.195805,0.7777568,0.00009554343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07437494,0.009513041,0.06536271,0.0167017,0.001007681,0.0001773639,0.0005125073,0.0003578016,0.8319923],"genre_scores_gemma":[0.8166549,0.008076529,0.04461526,0.00092249,0.000270511,0.0002468277,0.0002712726,0.0002810716,0.128661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01958134,"threshold_uncertainty_score":0.06550616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005720263676608692,"score_gpt":0.2262498502009407,"score_spread":0.220529586524332,"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."}}