{"id":"W4288551029","doi":"10.23999/j.dtomp.2019.2.1","title":"Helpful Hand of a Canadian Medical Team for the Severely Wounded Ukrainian Defenders","year":2019,"lang":"en","type":"article","venue":"Journal of Diagnostics and Treatment of Oral and Maxillofacial Pathology","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subspecialty; Medicine; Ukrainian; Family medicine","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":[0.002003439,0.001349761,0.000987976,0.001851211,0.01305363,0.00345832,0.001504779,0.004331944,0.09179606],"category_scores_gemma":[0.01240971,0.000612702,0.0008789415,0.0005217477,0.002931328,0.00260713,0.006373201,0.01118032,0.02560725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006078046,"about_ca_system_score_gemma":0.01922953,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1076642,"about_ca_topic_score_gemma":0.2202882,"domain_scores_codex":[0.9975184,0.0006042472,0.0001134918,0.0003021315,0.0007654597,0.0006963909],"domain_scores_gemma":[0.9856048,0.0004417161,0.0003566495,0.000402397,0.005014984,0.008179499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003173191,0.00003822827,0.001065656,0.0000587731,0.00001475046,0.002058994,0.0007694906,0.00007077656,0.000236013,0.001191364,0.9631802,0.03128399],"study_design_scores_gemma":[0.00001773983,0.00004432579,0.002306133,0.0005201716,0.00001301977,0.003907088,0.005196832,0.00009739271,0.00008854144,0.001305682,0.986456,0.00004693588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.009568953,0.02854373,0.005586948,0.689155,0.1296952,0.0003081766,0.0007379288,0.00129096,0.1351132],"genre_scores_gemma":[0.09737466,0.02535894,0.01293454,0.2964508,0.0308843,0.0003813885,0.0009226702,0.0009950333,0.5346975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8923358,"threshold_uncertainty_score":0.3070884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926791809219214,"score_gpt":0.2788877056088517,"score_spread":0.2396197875166596,"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."}}