{"id":"W2080933967","doi":"10.1016/j.transci.2009.03.015","title":"Application of special techniques","year":2009,"lang":"en","type":"article","venue":"Transfusion and Apheresis Science","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Antibody; Identification (biology); Resolution (logic); Computer science; Computational biology; Immunology; Medicine; Biology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149702,0.0007592186,0.0006275501,0.001469789,0.0008384798,0.0006729349,0.0007317184,0.0009718168,0.009095707],"category_scores_gemma":[0.001673536,0.0003318349,0.001114934,0.0007021303,0.0008680815,0.0008286451,0.001488065,0.002258997,0.003594462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077949,"about_ca_system_score_gemma":0.0005982441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001836516,"about_ca_topic_score_gemma":0.0003201157,"domain_scores_codex":[0.9992655,0.0001285752,0.00009038895,0.000209911,0.0001910649,0.0001145503],"domain_scores_gemma":[0.9989949,0.0002484899,0.0001235628,0.0003952778,0.000136806,0.0001009541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008646674,0.000397423,0.004458954,0.001264634,0.0002092148,0.002590904,0.000839953,0.0003415697,0.6572566,0.01236102,0.01054507,0.30887],"study_design_scores_gemma":[0.0002388366,0.0019153,0.01378559,0.0002882191,0.0005070942,0.04144699,0.0002847271,0.0023611,0.5026898,0.006119247,0.4302576,0.0001054001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2927485,0.03129812,0.5762711,0.002297671,0.005753463,0.001395667,0.0004400855,0.004711463,0.08508389],"genre_scores_gemma":[0.5187142,0.01711633,0.3760803,0.003466787,0.003010275,0.001670061,0.001425963,0.001088707,0.07742742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009095707,"threshold_uncertainty_score":0.03042817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0153661372340674,"score_gpt":0.3212644375599066,"score_spread":0.3058983003258392,"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."}}