{"id":"W7061085006","doi":"","title":"Profile of census tracts in Calgary, 2006 Census","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":"","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":[0.0004399161,0.0009717279,0.0008927559,0.008488261,0.001429578,0.001760009,0.001982406,0.0008295604,0.04760443],"category_scores_gemma":[0.005467091,0.001051606,0.0005541346,0.02035034,0.0002855109,0.001125057,0.001340574,0.001532618,0.03248286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005182441,"about_ca_system_score_gemma":0.0115229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7977573,"about_ca_topic_score_gemma":0.8178328,"domain_scores_codex":[0.9991969,0.00004918292,0.0001163033,0.0001615877,0.0002801483,0.0001958608],"domain_scores_gemma":[0.9970085,0.0002193039,0.0004559666,0.0001749042,0.001801111,0.0003403219],"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":[0.00009549244,0.00006441568,0.05259624,0.0005489493,0.00004869622,0.00009474226,0.0005015091,0.0007812862,0.0001358165,0.0006943567,0.9245319,0.01990668],"study_design_scores_gemma":[0.00005974583,0.00003245507,0.6409879,0.0004598378,0.0000315392,0.0001122973,0.001430246,0.0006876608,0.0001653914,0.0002666593,0.3557341,0.00003212722],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006428157,0.0004565215,0.0001366722,0.0001801557,0.00007178808,0.0001355633,0.9784544,0.0001969938,0.01393972],"genre_scores_gemma":[0.02703392,0.002767788,0.0009138618,0.0004746319,0.00006827354,0.000716923,0.8857079,0.0001528631,0.08216386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2022427,"threshold_uncertainty_score":0.4068674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0062480610054282,"score_gpt":0.2041471504250552,"score_spread":0.197899089419627,"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."}}