{"id":"W2744010770","doi":"","title":"小児期の実態と病態（低身長・骨粗鬆症など）","year":2009,"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":[0.001368544,0.0002324245,0.0001930509,0.000638637,0.001927593,0.003138915,0.0003533005,0.001033438,0.01531987],"category_scores_gemma":[0.00246225,0.0002089463,0.0002244322,0.0003732681,0.003384296,0.001737936,0.0007085949,0.001164978,0.004892692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847529,"about_ca_system_score_gemma":0.002793156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004216573,"about_ca_topic_score_gemma":0.003566886,"domain_scores_codex":[0.9992106,0.0001173229,0.00004248827,0.0001406893,0.0003999617,0.00008887059],"domain_scores_gemma":[0.9986494,0.0003389464,0.0001435531,0.0001252166,0.0005833171,0.0001595688],"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":[0.0001357569,0.000153558,0.004902508,0.0002448004,0.00004395195,0.000574904,0.003503344,0.0008614263,0.01759708,0.7629069,0.01891065,0.1901652],"study_design_scores_gemma":[0.00003997244,0.0003406494,0.01290497,0.0002027747,0.00008372948,0.001363558,0.005181158,0.001271731,0.04115688,0.247287,0.69008,0.00008754112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08836256,0.006147198,0.02716145,0.01432429,0.001506411,0.0001550095,0.0001831275,0.000154556,0.8620053],"genre_scores_gemma":[0.7074073,0.004668958,0.01854018,0.003589241,0.0007584516,0.00009063515,0.0001144236,0.00005710708,0.2647737],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01531987,"threshold_uncertainty_score":0.0512501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473548641461375,"score_gpt":0.2597194626877566,"score_spread":0.2449839762731428,"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."}}