{"id":"W7070787136","doi":"","title":"Profile of census tracts in Greater Sudbury/Grand Sudbury, North Bay, Sault Ste. Marie and Thunder Bay, 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; Thunder; Volume (thermodynamics); 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":[0.0002175772,0.0006003982,0.000318949,0.003437032,0.001118406,0.0007377393,0.0007900537,0.000182288,0.07126546],"category_scores_gemma":[0.001523508,0.000394865,0.0002348954,0.00740878,0.0002109693,0.0005314213,0.0006544948,0.0004797001,0.01659409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002761869,"about_ca_system_score_gemma":0.008750462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8303511,"about_ca_topic_score_gemma":0.9174704,"domain_scores_codex":[0.9997171,0.00002415792,0.00002304356,0.00004739617,0.0001089706,0.00007940408],"domain_scores_gemma":[0.9989047,0.00004271726,0.0001706739,0.00003634654,0.0006772995,0.0001682395],"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":[0.0001078656,0.00003148271,0.03439153,0.000566948,0.00002209819,0.0001208593,0.0007337587,0.00037906,0.000495607,0.0008547428,0.9378696,0.02442648],"study_design_scores_gemma":[0.00003083136,0.00002416409,0.5881141,0.0002996947,0.000015637,0.0001446824,0.001455684,0.0003007758,0.0002976331,0.00009538171,0.4091943,0.00002714405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0231487,0.001195165,0.0003853095,0.0003195142,0.0001013905,0.0002484689,0.9309574,0.0003196205,0.04332445],"genre_scores_gemma":[0.08072956,0.003849722,0.003193361,0.0001903325,0.00006531433,0.0007160536,0.6506256,0.0003009658,0.2603291],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1696489,"threshold_uncertainty_score":0.3412959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007875101465000056,"score_gpt":0.191597026595366,"score_spread":0.1837219251303659,"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."}}