{"id":"W4381587051","doi":"10.5281/zenodo.8066970","title":"Research Software Current State Assessment","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mount Allison University; Canarie; Simon Fraser University; University of British Columbia; University of Guelph; Queen's University; Toronto Dementia Research Alliance","funders":"","keywords":"Current (fluid); State (computer science); Software; Computer science; Software engineering; Engineering; Electrical engineering; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05740773,0.0009809087,0.001131378,0.02951457,0.008423625,0.03277932,0.007524292,0.002243074,0.05296302],"category_scores_gemma":[0.1809622,0.001083138,0.001387674,0.03327782,0.005249356,0.01262086,0.006344615,0.002916391,0.01954944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1013668,"about_ca_system_score_gemma":0.2800603,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8388371,"about_ca_topic_score_gemma":0.7936199,"domain_scores_codex":[0.891485,0.009029203,0.006083443,0.004430227,0.0834086,0.005563609],"domain_scores_gemma":[0.5021796,0.02538773,0.007802462,0.01882714,0.435996,0.009807093],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001598019,0.00009620746,0.01364371,0.001284394,0.0000547709,0.0001208136,0.004290533,0.002063272,0.0006314445,0.1552667,0.2867332,0.5356551],"study_design_scores_gemma":[0.00001346689,0.00003777384,0.005355192,0.001160121,0.00004847186,0.000052695,0.002279606,0.001202777,0.0008029815,0.007375034,0.9816009,0.00007104906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01469568,0.008290942,0.03687347,0.02819605,0.002020152,0.002420117,0.03985156,0.008647702,0.8590043],"genre_scores_gemma":[0.2624545,0.02503945,0.1386906,0.006462356,0.001029967,0.003542275,0.09472036,0.006276452,0.461784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9425923,"threshold_uncertainty_score":0.7354709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.522751042302474,"score_gpt":0.5010209335987214,"score_spread":0.02173010870375269,"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."}}