{"id":"W2602730242","doi":"","title":"β1~β2アドレナリン受容体の3次元モデルを用いたリガンド；受容体相互作用の考察(総説)","year":2007,"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":[0.0004214598,0.0004712802,0.0002072992,0.0003579975,0.0009748831,0.001058451,0.0004830806,0.0004835144,0.03411727],"category_scores_gemma":[0.0005422294,0.0001840801,0.0003913791,0.0003793484,0.0006533733,0.0006816855,0.0005229406,0.001458542,0.01120369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007125981,"about_ca_system_score_gemma":0.0006512279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003445233,"about_ca_topic_score_gemma":0.001414524,"domain_scores_codex":[0.9998023,0.00002613174,0.00000963047,0.00004583464,0.00005147502,0.00006457646],"domain_scores_gemma":[0.9996991,0.00004174652,0.00005256566,0.00002715004,0.0001130748,0.00006635075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001807332,0.0003836508,0.009817915,0.0008142827,0.0002751161,0.00198663,0.001765859,0.0009037561,0.6619451,0.1316272,0.02101065,0.1676625],"study_design_scores_gemma":[0.0001480099,0.0009019155,0.01957195,0.0002122206,0.0001854813,0.003631691,0.00169448,0.001268406,0.5200229,0.03911252,0.4131241,0.000126316],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5984494,0.01040326,0.0228791,0.005150235,0.002424727,0.0002404014,0.00133357,0.0004704493,0.3586488],"genre_scores_gemma":[0.8504268,0.005803118,0.009033754,0.001810994,0.0004192482,0.0001543807,0.00125791,0.0001181355,0.1309757],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03411727,"threshold_uncertainty_score":0.1141336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614283244887213,"score_gpt":0.2689159449684661,"score_spread":0.2527731125195939,"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."}}