{"id":"W3216267590","doi":"10.32920/ryerson.14639346.v1","title":"Report: Covering disadvantaged neighbourhoods","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Poverty; Geography; Sociology; Political science; 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":[],"consensus_categories":[],"category_scores_codex":[0.001411094,0.001155261,0.000307719,0.00244016,0.001486253,0.002175714,0.001032294,0.001725994,0.03380117],"category_scores_gemma":[0.003858302,0.0004032039,0.0003494283,0.002563217,0.0003687049,0.0008016591,0.00217482,0.001122541,0.01236674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0047335,"about_ca_system_score_gemma":0.01590152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7033241,"about_ca_topic_score_gemma":0.7201663,"domain_scores_codex":[0.9989091,0.00006067443,0.00005837251,0.00008551751,0.0006376063,0.0002487924],"domain_scores_gemma":[0.9945784,0.0003305335,0.000315981,0.0002653656,0.003155629,0.001354052],"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":[0.00006745906,0.00002561993,0.004635266,0.0002641205,0.00001322142,0.0001348899,0.0005301393,0.00009772496,0.0005168245,0.0005161494,0.980938,0.01226055],"study_design_scores_gemma":[0.00005762668,0.00005188467,0.1183315,0.0001695389,0.00003127025,0.00007414501,0.001089662,0.0001358495,0.0007137481,0.000137014,0.8791875,0.00002024622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03986806,0.006624802,0.001135116,0.03198852,0.00977488,0.00172515,0.6768196,0.001573898,0.2304901],"genre_scores_gemma":[0.088468,0.006177465,0.002148667,0.00626834,0.00352376,0.002000457,0.3499897,0.0005354462,0.5408881],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2966759,"threshold_uncertainty_score":0.5968462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02389366283749486,"score_gpt":0.331980872635961,"score_spread":0.3080872097984661,"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."}}