{"id":"W7061515188","doi":"","title":"Profile of census tracts in Fredericton, Moncton and Saint John","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; SAINT","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":[0.0001492365,0.00039274,0.0003588845,0.003094048,0.0008461924,0.0007750542,0.0007451763,0.0002887845,0.07906671],"category_scores_gemma":[0.001366268,0.0003785988,0.0002786987,0.006063393,0.0001620103,0.0005254989,0.0007682984,0.0003924999,0.02636186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182282,"about_ca_system_score_gemma":0.004447052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.613839,"about_ca_topic_score_gemma":0.7824864,"domain_scores_codex":[0.9997566,0.00001987418,0.00002167294,0.00004234261,0.00007307527,0.0000863505],"domain_scores_gemma":[0.9991941,0.00005650525,0.0001149693,0.00003713651,0.0004215374,0.0001757388],"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":[0.0001111265,0.00006094327,0.09772059,0.0003887967,0.00003444343,0.0002560428,0.001600889,0.0004810036,0.0006140281,0.002431896,0.860611,0.0356894],"study_design_scores_gemma":[0.00001624814,0.00002265873,0.5628033,0.0001678178,0.00001390725,0.0001682025,0.002744941,0.0005155049,0.0002832134,0.0001751361,0.4330614,0.00002759887],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06706278,0.0007798467,0.000640931,0.0006118432,0.0001511675,0.0002508833,0.8111627,0.0003808525,0.1189591],"genre_scores_gemma":[0.0917196,0.002989,0.001655563,0.0003976612,0.00006931317,0.0006266772,0.3377711,0.0002486006,0.5645224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.386161,"threshold_uncertainty_score":0.7768704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005442291500287719,"score_gpt":0.1968298546692614,"score_spread":0.1913875631689737,"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."}}