{"id":"W1221367222","doi":"","title":"LibGuides: GEOG 205 - Geographic Data: Collection, Interpretation, Display: Statistics Canada","year":2010,"lang":"en","type":"libguides","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Data collection; Computer science; Statistics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001748562,0.001397734,0.001068237,0.006952386,0.003787064,0.006829374,0.001933412,0.001202501,0.2629736],"category_scores_gemma":[0.01260509,0.001368904,0.0006020141,0.0246392,0.0008383124,0.00258296,0.002112745,0.002259959,0.09823287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0298913,"about_ca_system_score_gemma":0.1336355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809925,"about_ca_topic_score_gemma":0.9766079,"domain_scores_codex":[0.9978074,0.0001759382,0.0002017872,0.0002312121,0.001236915,0.0003467357],"domain_scores_gemma":[0.9866778,0.0009591681,0.0003032403,0.0004476091,0.01093109,0.0006811608],"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":[0.00003546351,0.00001988748,0.001975634,0.0001671097,0.000007832256,0.00001993765,0.0001667967,0.0001774649,0.00005201342,0.002659027,0.9601129,0.03460602],"study_design_scores_gemma":[0.00004574014,0.00001208946,0.01672937,0.0005960354,0.00002372203,0.00004454396,0.00103303,0.0008598,0.0005978688,0.001510029,0.9784877,0.00006015089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003870535,0.001917459,0.001645732,0.003381607,0.0005891622,0.00032553,0.701413,0.00630909,0.2805479],"genre_scores_gemma":[0.01729344,0.004476431,0.008710233,0.001029848,0.0001235051,0.0008161223,0.3849932,0.00508407,0.5774731],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2629736,"threshold_uncertainty_score":0.8797345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993331831938276,"score_gpt":0.2876210697708735,"score_spread":0.2676877514514907,"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."}}