{"id":"W6968136334","doi":"10.5281/zenodo.11384552","title":"AIRR Community Standards Working Group","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Schema (genetic algorithms); Focus group; Working group; Group (periodic table); Data collection","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":[0.07607878,0.001998737,0.002001284,0.01055023,0.003035869,0.01346208,0.00844466,0.008269751,0.04209982],"category_scores_gemma":[0.06637093,0.001081612,0.002939113,0.008790444,0.002377663,0.009974591,0.006933551,0.006874444,0.07886038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003613008,"about_ca_system_score_gemma":0.01661948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009880849,"about_ca_topic_score_gemma":0.004247759,"domain_scores_codex":[0.9345601,0.01726343,0.006530845,0.005373822,0.03277259,0.003499126],"domain_scores_gemma":[0.8614943,0.0169952,0.00497803,0.03577923,0.07557093,0.005182304],"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":[0.0005410067,0.0003484285,0.001893422,0.001207479,0.0001061584,0.0001713528,0.0005603866,0.001587001,0.00707316,0.08939385,0.7124233,0.1846945],"study_design_scores_gemma":[0.00005342836,0.0000540594,0.0006978827,0.0005364428,0.0000386,0.0001012482,0.000138795,0.0006165095,0.002467684,0.009566297,0.9856895,0.00003963713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009131473,0.01115866,0.3396182,0.046492,0.01407388,0.004034265,0.08404385,0.04559039,0.4458573],"genre_scores_gemma":[0.02792168,0.009941827,0.3033899,0.01720662,0.004602169,0.005151177,0.4368585,0.02552141,0.1694067],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07607878,"threshold_uncertainty_score":0.4023479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04673677801554409,"score_gpt":0.2747088200039766,"score_spread":0.2279720419884325,"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."}}