{"id":"W4399587962","doi":"10.32614/cran.package.capl","title":"capl: Compute and Visualize CAPL-2 Scores and Interpretations","year":2021,"lang":"en","type":"dataset","venue":"","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002915406,0.0002466577,0.0006430419,0.0007367504,0.0001905678,0.0008952815,0.0006103573,0.0001965616,0.0008425826],"category_scores_gemma":[0.06080722,0.0001683957,0.00007501667,0.001301204,0.0002155238,0.0001388382,0.0008566307,0.0003025221,0.00003984437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001209318,"about_ca_system_score_gemma":0.00007589723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000668923,"about_ca_topic_score_gemma":0.0003524206,"domain_scores_codex":[0.9968552,0.0005901899,0.0007007386,0.0008613567,0.0007476408,0.0002448621],"domain_scores_gemma":[0.9635934,0.03490078,0.0003406362,0.0007388175,0.0002556381,0.0001706926],"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":[0.000003099032,0.00001396561,0.0006269356,0.00001965349,0.00002464671,0.00002160114,0.00004233128,0.000001701545,0.000002177397,0.00007999451,0.9736715,0.02549242],"study_design_scores_gemma":[0.0001818401,0.0000606947,0.005069197,0.0000839182,0.00003473411,0.00008900891,0.000438037,0.0006770289,0.000003970603,0.004067196,0.9890449,0.0002494944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001625356,0.004643284,0.01425097,0.0003668883,0.001458358,0.0001853531,0.9762516,0.00004956689,0.001168598],"genre_scores_gemma":[0.0008433795,0.004286157,0.1107678,0.002912822,0.0005090922,0.00003227909,0.8776836,0.00003623598,0.002928609],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09856798,"threshold_uncertainty_score":0.947104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4508177195094503,"score_gpt":0.5291559676888464,"score_spread":0.07833824817939611,"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."}}