{"id":"W4250537504","doi":"10.32920/ryerson.14638881","title":"Digital Commons @ Ryerson","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commons; Computer science; Business; World Wide Web; Political science; Law and economics; Sociology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004253547,0.0007531676,0.001309273,0.00139004,0.002502944,0.007115619,0.001434966,0.00250211,0.8773418],"category_scores_gemma":[0.002063855,0.000617579,0.0004556068,0.001755838,0.001390076,0.003105515,0.004022572,0.001998799,0.7993356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002220788,"about_ca_system_score_gemma":0.001659939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01890611,"about_ca_topic_score_gemma":0.03006279,"domain_scores_codex":[0.999637,0.00003832955,0.00001702428,0.00009555408,0.000147421,0.00006459633],"domain_scores_gemma":[0.9987242,0.0001365266,0.00006149956,0.0004743196,0.0002010515,0.0004022912],"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":[0.00009043288,0.00005710398,0.0003482673,0.0003062667,0.00001131978,0.0002628836,0.0002592605,0.0001023317,0.0006196065,0.01735735,0.9146538,0.06593131],"study_design_scores_gemma":[0.000005583514,0.000009000425,0.0005581061,0.00006477488,0.000003441465,0.00006784867,0.0001660284,0.00003084143,0.0002687306,0.0006641268,0.9981551,0.000006521705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001066756,0.001093518,0.000429945,0.001553936,0.0004076573,0.00005273896,0.008637405,0.003606369,0.9831517],"genre_scores_gemma":[0.007718501,0.0009657834,0.0004483237,0.0006812973,0.00009913598,0.00004339066,0.003044589,0.001321753,0.9856772],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9928844,"threshold_uncertainty_score":0.174957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08128753786422678,"score_gpt":0.2380466810839997,"score_spread":0.1567591432197729,"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."}}