{"id":"W6948858848","doi":"10.5281/zenodo.12219302","title":"Bang ukraine pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Slavic languages; Face (sociological concept); Supporter; Per capita; Revenue; National security","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003145081,0.0009765327,0.0006359026,0.001326401,0.001940087,0.004944681,0.0007247035,0.00132078,0.9232094],"category_scores_gemma":[0.001207074,0.0007414854,0.0006900514,0.001459078,0.0003931108,0.003063644,0.003288575,0.00133273,0.8921747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009474399,"about_ca_system_score_gemma":0.0008543631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004396459,"about_ca_topic_score_gemma":0.008880852,"domain_scores_codex":[0.9996891,0.00002811921,0.0000200254,0.00005553255,0.0001281128,0.00007916996],"domain_scores_gemma":[0.999285,0.00007101056,0.00003900253,0.0001431794,0.0002379428,0.0002239939],"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":[0.00005575593,0.00003806799,0.0002509178,0.0001862289,0.000004919287,0.0000938779,0.00008820368,0.00004820485,0.0003618089,0.002437905,0.9275882,0.06884582],"study_design_scores_gemma":[0.000004580909,0.000005025596,0.0004138639,0.00003231383,9.087919e-7,0.00004140242,0.00003949057,0.0000104401,0.0001327699,0.0001249003,0.9991902,0.000004004741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004702137,0.0004911548,0.0002068647,0.0003509486,0.00060379,0.00007633276,0.004616279,0.002549769,0.9906346],"genre_scores_gemma":[0.001647952,0.0003034819,0.0001466186,0.0003324957,0.00008828509,0.00003147632,0.002031019,0.001472494,0.9939461],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07679063,"threshold_uncertainty_score":0.1095325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030975594534858,"score_gpt":0.1977887845427485,"score_spread":0.1668131900078905,"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."}}