{"id":"W6930035564","doi":"10.5281/zenodo.11834434","title":"Ukraine history pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pretext; Government (linguistics); Population; Liquation; Gloom","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":[0.0005736896,0.001010138,0.00109439,0.002723137,0.002459438,0.007383205,0.001356544,0.001719977,0.7942678],"category_scores_gemma":[0.002912252,0.0006175269,0.0009497753,0.003313111,0.0007515204,0.006287324,0.002870514,0.0020433,0.700566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773851,"about_ca_system_score_gemma":0.003127919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009064849,"about_ca_topic_score_gemma":0.01321334,"domain_scores_codex":[0.9992068,0.00006749078,0.0000576905,0.0001123528,0.0004541051,0.000101656],"domain_scores_gemma":[0.9982893,0.0001295875,0.00007323244,0.0002428445,0.0010496,0.0002154161],"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":[0.00004995586,0.00002631384,0.0001381334,0.0003748537,0.000005409659,0.0001714736,0.0001304469,0.0001102041,0.0003968275,0.007070499,0.9088435,0.0826824],"study_design_scores_gemma":[0.000002119284,0.000005465925,0.000157447,0.00005440819,0.000001592946,0.00007651572,0.00004095571,0.00001716195,0.0001754071,0.000334081,0.9991313,0.000003591988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005105012,0.002326361,0.0006425772,0.001085516,0.002264211,0.00008979254,0.006025125,0.001864739,0.9851913],"genre_scores_gemma":[0.00222149,0.001527916,0.0003652504,0.0004569969,0.0002808348,0.00002664783,0.002770661,0.0009173824,0.9914329],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2057322,"threshold_uncertainty_score":0.293452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281688598233166,"score_gpt":0.2456027516797989,"score_spread":0.2127858656974672,"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."}}