{"id":"W7113456893","doi":"","title":"Stacking Menageries: Densifying Toronto's Yellowbelt","year":2023,"lang":"en","type":"article","venue":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Typology; Ideal (ethics); Polarization (electrochemistry); Interpersonal communication; Stacking; Interpersonal relationship","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007177837,0.0003862452,0.0004196966,0.0003745375,0.001872702,0.002536376,0.002036119,0.0002597172,0.001047793],"category_scores_gemma":[0.001043705,0.000460984,0.0002478783,0.002166183,0.0002744789,0.009799452,0.001315156,0.0003822115,0.007731901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648604,"about_ca_system_score_gemma":0.0002805992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636183,"about_ca_topic_score_gemma":0.006711392,"domain_scores_codex":[0.9962382,0.0002030529,0.0003139915,0.0008819187,0.001138646,0.001224193],"domain_scores_gemma":[0.9978004,0.0003677949,0.0002259644,0.0005539054,0.000311601,0.0007403916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00082608,0.0002320789,0.7549344,0.0001659158,0.0005264365,0.002771003,0.02675569,0.000540455,0.001071001,0.03128817,0.1573675,0.02352134],"study_design_scores_gemma":[0.0003960281,0.00004748252,0.04852872,0.0001461075,0.00003562808,0.000002525776,0.002695741,0.00001157436,0.0002488037,0.0001984424,0.9470848,0.0006041046],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7379366,0.00002380401,0.0001430281,0.0005192962,0.0007639078,0.000470316,0.0002906877,0.001156549,0.2586959],"genre_scores_gemma":[0.8961554,0.0001903115,0.0000927517,0.000507459,0.0002930726,0.00000450873,0.0000795926,0.00005861739,0.1026183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7897174,"threshold_uncertainty_score":0.9998654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05116424319855543,"score_gpt":0.3004050995698356,"score_spread":0.2492408563712802,"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."}}