{"id":"W6930507883","doi":"10.5281/zenodo.11395624","title":"Canadian Urban Data Catalogue","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Data element; Metadata repository; Open data; Meta Data Services; Data management plan; Upload; Data management","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":[],"consensus_categories":[],"category_scores_codex":[0.003157017,0.00122697,0.0009051184,0.02308603,0.006459914,0.009070419,0.0041416,0.001405895,0.09471077],"category_scores_gemma":[0.01558639,0.0007562062,0.00109093,0.04856349,0.001358565,0.005130255,0.004788668,0.001774804,0.05535344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05019578,"about_ca_system_score_gemma":0.09936246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9494297,"about_ca_topic_score_gemma":0.9550827,"domain_scores_codex":[0.9946967,0.0002664122,0.0004434227,0.0005735969,0.00339756,0.0006221242],"domain_scores_gemma":[0.9727812,0.001045143,0.0006476853,0.002717439,0.02121359,0.001594816],"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":[0.00005537434,0.00001821426,0.002973784,0.0004436639,0.00001510279,0.00009920468,0.0007260193,0.0008080716,0.0003919014,0.05114206,0.8738919,0.06943472],"study_design_scores_gemma":[0.00000355324,0.000002014567,0.001489576,0.0001038284,0.000005267604,0.00003560216,0.000289261,0.0002923716,0.0001820856,0.00141653,0.9961542,0.00002560976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002637919,0.0008412745,0.01326274,0.002541863,0.0002983804,0.0005710906,0.7335303,0.00585947,0.240457],"genre_scores_gemma":[0.01547029,0.002193769,0.04083591,0.0007952461,0.000106632,0.000501135,0.8360518,0.002074793,0.1019705],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09471077,"threshold_uncertainty_score":0.3641976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0684179948041257,"score_gpt":0.3115583816218582,"score_spread":0.2431403868177325,"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."}}