{"id":"W6996054601","doi":"","title":"Profile of census tracts in Toronto, 2006 Census : map volume","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Volume (thermodynamics); Field (mathematics); Population; Data collection","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":[0.0002459208,0.001044305,0.0004665202,0.005336223,0.001162032,0.001499633,0.000842886,0.0004023005,0.09089143],"category_scores_gemma":[0.002146588,0.0008215362,0.0004202434,0.01555379,0.0002498394,0.0006399946,0.0007699332,0.0007053,0.03958547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008359023,"about_ca_system_score_gemma":0.02246453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9354692,"about_ca_topic_score_gemma":0.9752097,"domain_scores_codex":[0.9995522,0.00002451973,0.00004937912,0.00006821477,0.0001996525,0.0001060425],"domain_scores_gemma":[0.9984533,0.00006312521,0.0001998814,0.00007154231,0.0009688443,0.0002433558],"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":[0.00003399583,0.000009462475,0.008471507,0.0004522712,0.00001068582,0.00005197656,0.0004376567,0.0003447566,0.0001696342,0.0005283473,0.9778824,0.01160748],"study_design_scores_gemma":[0.00002314153,0.00001967954,0.2942031,0.0002559121,0.00002414911,0.0001287352,0.0008665051,0.0004326456,0.0002241278,0.0001289096,0.7036662,0.00002693272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003991919,0.0007845123,0.0002244999,0.0002211859,0.00006564811,0.0001243254,0.9668782,0.0003270397,0.02738267],"genre_scores_gemma":[0.02779346,0.003922594,0.002238451,0.000149217,0.00005434195,0.0003148704,0.7819065,0.0002858082,0.1833348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09089143,"threshold_uncertainty_score":0.3040621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00608602076441625,"score_gpt":0.2011146737442174,"score_spread":0.1950286529798011,"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."}}