{"id":"W3107484123","doi":"","title":"Subject Guides: GEOG 204 Tutorial -- Census of Canada / NHS: Boundary Files","year":2011,"lang":"en","type":"libguides","venue":"","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Subject (documents); Boundary (topology); Computer science; Library science; Demography; Sociology; Population; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001185504,0.0003017014,0.000734424,0.0001652455,0.000751933,0.0001721596,0.001330142,0.0002493171,0.005496573],"category_scores_gemma":[0.001772477,0.0002589942,0.0002814056,0.0003162755,0.0004831209,0.0001838102,0.0002739187,0.0003135005,0.00001155667],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002179697,"about_ca_system_score_gemma":0.007906427,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920213,"about_ca_topic_score_gemma":0.9939845,"domain_scores_codex":[0.9966029,0.00031566,0.0007354749,0.0004964723,0.001166277,0.0006832124],"domain_scores_gemma":[0.9976116,0.00048823,0.0008781559,0.0005630674,0.0002277333,0.0002312089],"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":[0.000007336307,0.00002041674,0.0003821379,0.00005487452,0.000153638,0.00001929638,0.0009527627,6.838912e-7,0.000005455645,0.004986742,0.9908724,0.002544241],"study_design_scores_gemma":[0.00008323963,0.00001833062,0.0003163176,0.0001240984,0.0001103717,4.750438e-7,0.002164884,0.000003959176,0.00002792768,0.001193344,0.9956315,0.0003255414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001540054,0.001609487,0.00001589801,0.0004967944,0.00771418,0.0002429175,0.00459375,0.00007681041,0.9837101],"genre_scores_gemma":[0.02463423,0.007137539,0.003733831,0.001274703,0.02848908,0.00004555143,0.006612988,0.0001796752,0.9278924],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0558177,"threshold_uncertainty_score":0.9999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664804874880886,"score_gpt":0.2770106390719526,"score_spread":0.2503625903231437,"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."}}