{"id":"W6931323558","doi":"10.5281/zenodo.6390988","title":"AgnostiqHQ/covalent: v0.34.5","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diverse Interdisciplinary Research Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agnostiq (Canada)","funders":"","keywords":"Identification (biology); Work (physics); Process (computing)","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":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.0007438985,0.000321596,0.0003234821,0.0008493166,0.003437482,0.001954551,0.005919302,0.0001064388,0.1775847],"category_scores_gemma":[0.000562276,0.0003409513,0.0001378387,0.001013479,0.0003397785,0.0002981714,0.0209634,0.0006659001,0.03448283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000455242,"about_ca_system_score_gemma":0.00001226989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004087209,"about_ca_topic_score_gemma":0.000001140796,"domain_scores_codex":[0.9962759,0.0005519351,0.0002707003,0.001001048,0.001213487,0.0006869404],"domain_scores_gemma":[0.9977631,0.00003987659,0.0002011308,0.001426706,0.0003193025,0.0002498858],"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":[0.000008842552,0.0001271186,0.000001535366,0.00007920004,0.0001206562,0.0001436549,0.0007522716,0.000006748213,0.00002123328,0.008148783,0.9537009,0.03688905],"study_design_scores_gemma":[0.0003353542,0.0002889681,0.00005107197,0.00006283908,0.00001204111,0.0001069686,0.0002218985,0.0001891253,0.00000834091,0.000193374,0.9981876,0.0003424426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001410376,0.0004349511,0.005350908,0.001423126,0.000517264,0.0006519113,0.0006084138,0.003066236,0.9879331],"genre_scores_gemma":[0.002782698,0.0007448437,0.001595489,0.0003134481,0.0005978452,4.996508e-7,0.002470483,0.0107511,0.9807436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1431018,"threshold_uncertainty_score":0.9999043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650090925708113,"score_gpt":0.2645170613185432,"score_spread":0.2280161520614621,"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."}}