{"id":"W3111201932","doi":"","title":"T細胞 5.T細胞活性化のアビディティー(avidity)モデル","year":2000,"lang":"ja","type":"article","venue":"Canadian parliamentary review","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Avidity; Medicine; Immunology; Antibody","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":[0.002533783,0.0005461872,0.0005016364,0.002006179,0.00676937,0.006778667,0.00148001,0.00927443,0.02769126],"category_scores_gemma":[0.009366741,0.0003551951,0.0008661812,0.00209686,0.002298411,0.001570136,0.0009748641,0.004802156,0.007451105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0214294,"about_ca_system_score_gemma":0.05379543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.81968,"about_ca_topic_score_gemma":0.8987173,"domain_scores_codex":[0.9947038,0.0003082643,0.0001711102,0.0002600529,0.002858708,0.001698035],"domain_scores_gemma":[0.9932811,0.0007245943,0.000247128,0.0001482575,0.004950117,0.0006487663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003559837,0.00001285547,0.000343006,0.0002618683,0.00001277837,0.00008460175,0.0002353444,0.00004135324,0.000317984,0.02477941,0.9559621,0.01791309],"study_design_scores_gemma":[0.000009251372,0.00001139876,0.002096039,0.0001760957,0.00001569413,0.00002515534,0.000199464,0.00002325524,0.000120965,0.0007223397,0.9965856,0.0000147839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003645021,0.08637782,0.0004551846,0.3244908,0.03946562,0.0002214445,0.001447641,0.0001705908,0.5437259],"genre_scores_gemma":[0.04532789,0.01891082,0.0007161911,0.2435715,0.004390169,0.0001280976,0.0004972023,0.00005669567,0.6864013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.81968,"threshold_uncertainty_score":0.3627639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155342119757723,"score_gpt":0.2224310423160898,"score_spread":0.2068968303403175,"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."}}