{"id":"W4393743360","doi":"10.5281/zenodo.6089828","title":"Task-Informed Meta-Learning data","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Task (project management); Computer science; Psychology; Engineering","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":[0.002155033,0.003232755,0.001391223,0.002694977,0.001012011,0.002272975,0.004569416,0.00302569,0.04520812],"category_scores_gemma":[0.00956209,0.0008630884,0.002252275,0.003697521,0.0007652956,0.001530427,0.002340858,0.00386622,0.08719752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885365,"about_ca_system_score_gemma":0.003516661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01403256,"about_ca_topic_score_gemma":0.03995591,"domain_scores_codex":[0.9983676,0.0003265326,0.0001440471,0.0005814829,0.0003650466,0.0002154139],"domain_scores_gemma":[0.9968711,0.0007565452,0.0001588682,0.001297864,0.0006873346,0.0002283573],"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":[0.000224107,0.0001702318,0.001274955,0.0007450529,0.00009308145,0.00005672346,0.00003848592,0.00223429,0.0006439333,0.001058654,0.9837421,0.00971837],"study_design_scores_gemma":[0.0006875843,0.0001178414,0.003369382,0.0004460144,0.0001351443,0.0002429651,0.0001169093,0.007558171,0.004065224,0.008950475,0.9742107,0.00009947675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001154902,0.0003033703,0.00179882,0.0002107703,0.0001406009,0.0001046226,0.9903121,0.003979573,0.001995266],"genre_scores_gemma":[0.001939196,0.000086584,0.003320714,0.0001108837,0.00001202917,0.0003268616,0.9924569,0.0003179747,0.001428851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04520812,"threshold_uncertainty_score":0.1512362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096080025341787,"score_gpt":0.3049913740789761,"score_spread":0.1953833715447975,"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."}}