{"id":"W6995824537","doi":"","title":"Profile of census tracts in Halifax, 2006 Census : map volume","year":2008,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Volume (thermodynamics); Field (mathematics); Population; Data collection","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":[0.000167069,0.0006986141,0.0004054595,0.004448597,0.0006933695,0.0006854917,0.0007166611,0.0002862419,0.03980389],"category_scores_gemma":[0.001675455,0.0003993564,0.0002685604,0.00755825,0.000195485,0.0004729775,0.0005384773,0.0004207691,0.01879539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002513,"about_ca_system_score_gemma":0.006356688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6144695,"about_ca_topic_score_gemma":0.6764747,"domain_scores_codex":[0.9997548,0.00002251357,0.00003504686,0.00005049468,0.00008678401,0.00005038448],"domain_scores_gemma":[0.9989372,0.0000859272,0.0001801851,0.00004358085,0.0006298447,0.0001232756],"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":[0.0001251705,0.00003058357,0.04644974,0.0006652421,0.00002771578,0.0001307109,0.0005935184,0.000878536,0.0004879154,0.0005856097,0.9213651,0.02866014],"study_design_scores_gemma":[0.00003689281,0.00002874196,0.5368221,0.0002669641,0.00001638331,0.0002740533,0.001052982,0.0008503872,0.0003319341,0.00015333,0.4601377,0.00002860534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01349987,0.0003959939,0.0002130249,0.0002304999,0.00004775707,0.0001251396,0.9659864,0.0003306148,0.01917075],"genre_scores_gemma":[0.05860059,0.001749785,0.002758019,0.0003075832,0.00003874526,0.0009082294,0.8243591,0.0001874055,0.1110906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3855305,"threshold_uncertainty_score":0.7756019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396326716293084,"score_gpt":0.2409567404490057,"score_spread":0.2269934732860749,"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."}}