{"id":"W6996006681","doi":"","title":"Profile of census tracts in Kamloops, Kelowna and Prince George, 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; Volume (thermodynamics); Field (mathematics); Population; Census tract","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":[0.0001865983,0.0004176843,0.0002788154,0.002993484,0.0005856256,0.0005991312,0.0006939826,0.0002988204,0.06318666],"category_scores_gemma":[0.002152466,0.0005412254,0.0002335332,0.007368507,0.0001722907,0.0006982813,0.0006969934,0.0004986818,0.03306646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009991471,"about_ca_system_score_gemma":0.003918278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2440732,"about_ca_topic_score_gemma":0.4578716,"domain_scores_codex":[0.9997916,0.00001974422,0.00002996055,0.00004298307,0.00007495858,0.00004078662],"domain_scores_gemma":[0.9990251,0.00008113808,0.0001906915,0.00005962493,0.0005086853,0.0001347919],"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":[0.0001422186,0.00006058022,0.05958972,0.0009357099,0.0000262321,0.0001480581,0.00155881,0.0006734933,0.001001959,0.001009787,0.8881758,0.0466776],"study_design_scores_gemma":[0.00002990168,0.00003161694,0.4994303,0.000257626,0.00001475278,0.0002421837,0.001037844,0.0004521385,0.0003333275,0.0001539479,0.4979949,0.00002150174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03720731,0.0005892731,0.0007553792,0.0002404635,0.00005970912,0.0003218103,0.9117189,0.0005336254,0.04857352],"genre_scores_gemma":[0.06981386,0.002374561,0.00583623,0.0002320451,0.0000362426,0.001141232,0.6411007,0.0004275107,0.2790376],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7559267,"threshold_uncertainty_score":0.4853051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005484798765809507,"score_gpt":0.1894518660823236,"score_spread":0.183967067316514,"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."}}