{"id":"W2915817106","doi":"10.5281/zenodo.13681","title":"rletters: v2.0.0","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000616824,0.00009072993,0.00008799881,0.0001713657,0.0007098203,0.001475165,0.001844611,0.00003273496,0.001297949],"category_scores_gemma":[0.000450491,0.00009294597,0.00002951383,0.0006867244,0.0000693347,0.0006436329,0.001524354,0.0001173411,0.01323492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007913067,"about_ca_system_score_gemma":0.000004883337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004542831,"about_ca_topic_score_gemma":6.446051e-8,"domain_scores_codex":[0.9986783,0.0001929576,0.0001708747,0.0003181972,0.0003890093,0.0002507226],"domain_scores_gemma":[0.9986355,0.000009708675,0.00006529307,0.0005796153,0.0004599638,0.0002498974],"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":[0.000005191043,0.0000779907,0.000002480401,0.00001006113,0.00001348374,0.00001424581,0.001015357,0.00006156703,0.0003570822,0.09233473,0.8439587,0.06214904],"study_design_scores_gemma":[0.0003035959,0.00008531034,0.00003986004,0.000007667529,0.000002949084,0.0000520538,0.000111015,0.01131244,0.0001821051,0.0006691357,0.9871147,0.0001191508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009245397,0.00004369383,0.8302662,0.004289362,0.0002126936,0.0001829033,0.00005523759,0.00174513,0.1622802],"genre_scores_gemma":[0.9484073,0.0001208618,0.02452946,0.01010279,0.0008903358,6.111154e-8,0.004464491,0.002984451,0.008500271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9474828,"threshold_uncertainty_score":0.999615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08013290710744612,"score_gpt":0.2872036796203245,"score_spread":0.2070707725128784,"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."}}