{"id":"W7024147771","doi":"","title":"Profile of census tracts in Ottawa-Gatineau, 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; 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":[0.0002096835,0.0007069083,0.0004278508,0.005834645,0.001495932,0.001370819,0.001243041,0.0004396922,0.0809853],"category_scores_gemma":[0.002225266,0.0007412593,0.0003921612,0.0146111,0.0003177456,0.0007424438,0.0009366838,0.0005675258,0.04027576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005582307,"about_ca_system_score_gemma":0.01912994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9131601,"about_ca_topic_score_gemma":0.9654285,"domain_scores_codex":[0.9995351,0.00002947544,0.00005190308,0.00008404719,0.0001642317,0.0001352354],"domain_scores_gemma":[0.9985716,0.00007533775,0.0001366361,0.00008474475,0.0008985969,0.0002329693],"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":[0.0001142967,0.0000340998,0.03849079,0.0009289748,0.00002313639,0.0001115279,0.001231621,0.0005224524,0.0004245832,0.001118968,0.9264208,0.03057869],"study_design_scores_gemma":[0.00001972318,0.00002233923,0.3724085,0.0003366981,0.00002127877,0.0001517918,0.001478518,0.0003222649,0.0003191069,0.0001315752,0.6247498,0.00003851537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009208932,0.0006454742,0.0001971788,0.0001707909,0.00006572097,0.0001909455,0.9550298,0.0003017398,0.03418947],"genre_scores_gemma":[0.04913018,0.002938829,0.003248737,0.0001696734,0.00003734085,0.0007435505,0.6453288,0.0003478262,0.2980551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08683985,"threshold_uncertainty_score":0.2709228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006328042723582695,"score_gpt":0.1951355349086956,"score_spread":0.1888074921851129,"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."}}