{"id":"W3129055437","doi":"","title":"異常な子宮出血を有する女性における貧血と輸血の予測におけるパーム-コインの評価【JST・京大機械翻訳】","year":2019,"lang":"ja","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003993962,0.0003839934,0.0009152558,0.0005349597,0.0001264818,0.00004391721,0.0005077282,0.0006606372,0.001586574],"category_scores_gemma":[0.001221489,0.0003662839,0.0001449017,0.000588976,0.0001299151,0.0002498276,0.00009685079,0.001456015,0.00001860198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024319,"about_ca_system_score_gemma":0.001574677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008985114,"about_ca_topic_score_gemma":0.02797311,"domain_scores_codex":[0.9976082,0.00008323614,0.0009971128,0.000267719,0.0003945882,0.0006491834],"domain_scores_gemma":[0.9964471,0.002197242,0.000413149,0.0003491115,0.0003002596,0.0002931283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008173682,0.0005562133,0.5182919,0.002722038,0.005497096,0.02763176,0.00173304,0.02922019,0.0006869147,0.07614343,0.06834175,0.2690939],"study_design_scores_gemma":[0.009950249,0.003593358,0.7195981,0.0001042192,0.0008108105,0.0009271229,0.008935828,0.008003922,0.000249782,0.009231365,0.2365443,0.002050957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479269,0.07645837,0.0000317079,0.0006744409,0.03604904,0.0002074539,0.00004957772,0.00002640037,0.03857607],"genre_scores_gemma":[0.9959642,0.002455222,0.0003327139,0.0002505754,0.00006488511,0.000001492552,0.00000293254,0.00003669835,0.0008912401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.267043,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006118012645167208,"score_gpt":0.1845989579696093,"score_spread":0.1784809453244421,"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."}}