{"id":"W7042373335","doi":"","title":"Profile of census tracts in Greater Sudbury/Grand Sudbury, North Bay, Sault Ste. Marie and Thunder Bay","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":"Thunder; Bay; Census; Population","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":[0.0001394332,0.0003810977,0.0002211457,0.002763209,0.0009193127,0.0006531423,0.0005983362,0.0001475806,0.07898376],"category_scores_gemma":[0.001012579,0.0002769843,0.0001767343,0.004792965,0.0001757613,0.0003962349,0.0006422676,0.0003001925,0.01583455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851666,"about_ca_system_score_gemma":0.005210401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7659966,"about_ca_topic_score_gemma":0.9129561,"domain_scores_codex":[0.999803,0.00001671447,0.00001514078,0.0000336675,0.00006896504,0.00006248627],"domain_scores_gemma":[0.9991166,0.00004343688,0.0001409926,0.00003715506,0.0004648772,0.0001969505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002104816,0.00007101158,0.1473462,0.0006557121,0.00004119558,0.0003590771,0.001955417,0.0006790618,0.001805339,0.002071737,0.7873095,0.05749522],"study_design_scores_gemma":[0.00001832171,0.00002167592,0.6997902,0.0001690238,0.000009571533,0.0001295096,0.001967209,0.0002505841,0.0003433032,0.00007779268,0.297201,0.00002177209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08662497,0.001054649,0.0006729563,0.0004260825,0.00009891992,0.0003698617,0.8122,0.0004061747,0.0981465],"genre_scores_gemma":[0.1439054,0.002213937,0.002924702,0.0001461081,0.00004183597,0.0005521535,0.4840985,0.0002943625,0.3658231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2340034,"threshold_uncertainty_score":0.470763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008377592660666172,"score_gpt":0.1941082649644106,"score_spread":0.1857306723037444,"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."}}