{"id":"W7033412040","doi":"","title":"Profile of census tracts in Fredericton, Moncton and Saint John, 2006 Census : map volume","year":2009,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Volume (thermodynamics); SAINT; Field (mathematics)","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":[0.000243231,0.000474624,0.0003929313,0.003647167,0.0005034536,0.0006039969,0.0007851244,0.0002634738,0.03229712],"category_scores_gemma":[0.002155751,0.0004198782,0.0002698957,0.006928077,0.0001380357,0.0004803943,0.0005738252,0.0005045001,0.01435172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001806455,"about_ca_system_score_gemma":0.004867263,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4746786,"about_ca_topic_score_gemma":0.6703969,"domain_scores_codex":[0.9997411,0.00002616186,0.00003331461,0.0000567704,0.00008379526,0.0000588295],"domain_scores_gemma":[0.9988877,0.00006608921,0.0001771144,0.00005848064,0.0006558794,0.000154765],"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":[0.0002069241,0.00006390306,0.1025292,0.0006598885,0.00005586938,0.0001277109,0.0009497868,0.001057079,0.0009056946,0.001440097,0.8610194,0.03098449],"study_design_scores_gemma":[0.00002567235,0.000021889,0.679791,0.0001675169,0.00001855172,0.000165682,0.0007635106,0.0007641742,0.0003581242,0.0001095586,0.317795,0.00001933955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03979926,0.0004557178,0.0005602391,0.0001916352,0.00007558888,0.0002080585,0.9369567,0.0003596986,0.02139305],"genre_scores_gemma":[0.0889305,0.001824463,0.00431583,0.0001973041,0.00003807802,0.0007390685,0.7707173,0.0002905828,0.1329469],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5253214,"threshold_uncertainty_score":0.9438313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006339577801472492,"score_gpt":0.1699701971174174,"score_spread":0.1636306193159449,"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."}}