{"id":"W4241233660","doi":"10.1515/iupac.84.0267","title":"Antibody, Therapeutic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Immunology; Medicine; Immune system; Philosophy; Linguistics","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":[0.001019818,0.001001506,0.001306972,0.003512314,0.0005658379,0.00265008,0.001729585,0.001933675,0.1531953],"category_scores_gemma":[0.01548394,0.0003441079,0.001979224,0.006731551,0.0003550168,0.002549372,0.001156898,0.002376648,0.05518755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684364,"about_ca_system_score_gemma":0.003132586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223634,"about_ca_topic_score_gemma":0.02512668,"domain_scores_codex":[0.9982783,0.0002470814,0.0004328435,0.000504385,0.000369236,0.0001682059],"domain_scores_gemma":[0.9956406,0.001747402,0.0009430549,0.000609596,0.0008012317,0.0002580235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005429802,0.00004925173,0.004668226,0.01092212,0.0002496909,0.00006111207,0.00002361272,0.0004189106,0.0001702088,0.002201104,0.9331197,0.04757311],"study_design_scores_gemma":[0.0005902469,0.00004428296,0.007742702,0.002736784,0.0002397952,0.0002431965,0.00003687119,0.0001540214,0.0001150695,0.003444299,0.984632,0.00002073892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004152187,0.003610912,0.0002436351,0.0004899405,0.0001986459,0.0000938107,0.9856269,0.0001558811,0.009164921],"genre_scores_gemma":[0.00554052,0.00667733,0.00208198,0.002698108,0.0002744795,0.0005378695,0.9715033,0.0001666982,0.01051989],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1531953,"threshold_uncertainty_score":0.5124893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303346759216362,"score_gpt":0.4804136068475958,"score_spread":0.4500789309259596,"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."}}