{"id":"W6943876566","doi":"10.17616/r31njnc0","title":"City of Mississauga Open Data Catalogue","year":2022,"lang":"en","type":"other","venue":"Registry of Research Repositories","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Census; Public use; Public access; Open data","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":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.005155576,0.0004273541,0.001248188,0.000774376,0.0003371162,0.0002523697,0.01518814,0.0004849751,0.004674593],"category_scores_gemma":[0.004335461,0.0004295575,0.0001331658,0.001752329,0.002855202,0.000306491,0.01936572,0.001561867,0.00007540086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003635476,"about_ca_system_score_gemma":0.002619599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08860341,"about_ca_topic_score_gemma":0.002313036,"domain_scores_codex":[0.9914442,0.001316641,0.0008473045,0.001498002,0.004107577,0.0007862906],"domain_scores_gemma":[0.9860335,0.00058762,0.001399011,0.01102122,0.0006614863,0.0002971733],"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":[0.0002777241,0.0003247722,0.007772184,0.001774876,0.000538262,0.0002558111,0.0001420537,3.905594e-7,0.002128132,0.0006695233,0.9859678,0.0001484843],"study_design_scores_gemma":[0.0004092214,0.0001906136,0.0004154532,0.0007890436,0.00006576168,0.00007893838,0.0008481625,0.000002413436,0.005458513,0.0001379394,0.9912623,0.0003416402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004352262,0.007777093,0.000003301619,0.0002133782,0.0007307173,0.001660023,0.02698047,0.000191229,0.9620085],"genre_scores_gemma":[0.005405955,0.0003015205,0.001722464,0.000001802412,0.001006859,0.0001212016,0.01095809,0.001143923,0.9793382],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08629037,"threshold_uncertainty_score":0.9998584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2960473019572393,"score_gpt":0.4849547916450263,"score_spread":0.1889074896877869,"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."}}