{"id":"W7143775421","doi":"10.69181/3553","title":"清涼飲料水中のカフェイン含有量について","year":2022,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Yield (engineering); Process (computing)","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":[],"consensus_categories":[],"category_scores_codex":[0.004954644,0.001303732,0.001099782,0.002767671,0.002651563,0.004759422,0.001162745,0.001548906,0.01885307],"category_scores_gemma":[0.008296995,0.001023184,0.0009636056,0.002128478,0.002942643,0.004846189,0.001936224,0.00212952,0.01087769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629961,"about_ca_system_score_gemma":0.004613854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004972349,"about_ca_topic_score_gemma":0.005338623,"domain_scores_codex":[0.9914131,0.001697313,0.0008291465,0.001647724,0.00367794,0.0007347365],"domain_scores_gemma":[0.9932119,0.001952976,0.000651207,0.0006821502,0.003108901,0.0003928369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001386214,0.0006622814,0.03019974,0.005009165,0.0004859073,0.001777004,0.004710055,0.01031435,0.07767335,0.09934901,0.04800295,0.72043],"study_design_scores_gemma":[0.0003531407,0.001908985,0.04092388,0.001757452,0.001017886,0.005761616,0.007565149,0.02662621,0.243597,0.1189515,0.5509173,0.000619877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1712848,0.04744892,0.1885666,0.01001946,0.002024034,0.001719632,0.002945142,0.001957335,0.5740342],"genre_scores_gemma":[0.7124842,0.039829,0.1128538,0.002624489,0.001522282,0.001821936,0.003756361,0.0003999915,0.1247079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01885307,"threshold_uncertainty_score":0.06306982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316781644460991,"score_gpt":0.2252147557028846,"score_spread":0.2120469392582747,"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."}}