{"id":"W2619716104","doi":"","title":"骨粗鬆症による骨折を予防するために その2：骨折一次予防のための施策と骨折二次予防の重要性―大腿骨近位部骨折を中心に―","year":2013,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130693,0.0003258671,0.0002921651,0.00070778,0.001728285,0.00318477,0.0004857981,0.0009359095,0.01067482],"category_scores_gemma":[0.00360748,0.0003080971,0.0003244689,0.0004001193,0.003202678,0.001894248,0.0008375962,0.001244974,0.003298752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549074,"about_ca_system_score_gemma":0.002722421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003018855,"about_ca_topic_score_gemma":0.002501812,"domain_scores_codex":[0.9983328,0.0003113977,0.000125775,0.0002908839,0.0007983242,0.0001408721],"domain_scores_gemma":[0.9970879,0.0009398896,0.0003590815,0.0002965075,0.001085543,0.0002310348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002755023,0.0003353586,0.01087353,0.000672784,0.0001614903,0.0009949775,0.007642728,0.002157791,0.05807678,0.5935637,0.01718,0.3080653],"study_design_scores_gemma":[0.0000751765,0.0007186329,0.02588719,0.0003839887,0.0002421001,0.00245069,0.01066387,0.003699349,0.1636079,0.2692954,0.5227661,0.000209431],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.206467,0.007186001,0.05950144,0.009741073,0.001375805,0.000276622,0.0003175187,0.000291577,0.714843],"genre_scores_gemma":[0.8607216,0.003736219,0.02851018,0.002128877,0.0005214332,0.0001842654,0.0001853553,0.000078524,0.1039335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01067482,"threshold_uncertainty_score":0.03571075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429266572044755,"score_gpt":0.2452722987258974,"score_spread":0.2309796330054498,"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."}}