{"id":"W7052126729","doi":"","title":"Profile of census tracts in Winnipeg, 2006 Census : map volume","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","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":[0.0001968398,0.0007088094,0.0005246919,0.004269773,0.0008931758,0.001076806,0.001113737,0.0002929139,0.03805638],"category_scores_gemma":[0.002494382,0.0005896124,0.0003966024,0.01242208,0.0001704339,0.000589375,0.000767114,0.0004938987,0.01293341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004404818,"about_ca_system_score_gemma":0.01558672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9243554,"about_ca_topic_score_gemma":0.957498,"domain_scores_codex":[0.9996794,0.00002215557,0.00003268465,0.00006368793,0.0001192573,0.00008273181],"domain_scores_gemma":[0.9992635,0.00002735496,0.00009753225,0.00002529904,0.0004706543,0.0001156121],"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":[0.0001041099,0.00003131796,0.04384092,0.001019764,0.00005037059,0.0001789946,0.00094942,0.0008424553,0.0004668652,0.001552498,0.9116954,0.03926781],"study_design_scores_gemma":[0.00003876973,0.00001976193,0.4004909,0.0002824484,0.00003055183,0.0002107852,0.001356344,0.0005999889,0.0002487317,0.0002612614,0.5964339,0.000026634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01382091,0.0008563395,0.0004209999,0.0003401492,0.00008284218,0.0003953631,0.9606234,0.0002339794,0.02322614],"genre_scores_gemma":[0.07853231,0.005711138,0.00588455,0.0003641133,0.00004602922,0.001306069,0.703648,0.0003727459,0.2041351],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07564455,"threshold_uncertainty_score":0.15218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004537660685292864,"score_gpt":0.1718023535725579,"score_spread":0.167264692887265,"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."}}