{"id":"W4242508772","doi":"10.1111/cag.12547","title":"Issue Information / Dans ce numéro","year":2020,"lang":"fr","type":"paratext","venue":"Canadian Geographies / Géographies canadiennes","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Geographer; Section (typography); World Wide Web; Computer science; Library science; Geography; Cartography; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.0001954325,0.002117431,0.001760109,0.009768853,0.001464891,0.0009387891,0.002247374,0.002174232,0.007537323],"category_scores_gemma":[0.0002589768,0.002558502,0.001135731,0.01110053,0.003403036,0.001599083,0.0002437878,0.002032061,0.00677706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009679017,"about_ca_system_score_gemma":0.0008895508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8682831,"about_ca_topic_score_gemma":0.9868171,"domain_scores_codex":[0.9927187,0.0001093802,0.001587503,0.001095351,0.0005927222,0.003896352],"domain_scores_gemma":[0.9940862,0.0002348042,0.0004252001,0.00158335,0.0004742776,0.003196186],"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":[0.00001715894,0.00001214233,0.006796401,0.001505954,0.001174328,0.0002396648,0.005568112,0.00122269,0.00001211475,0.01388807,0.9474049,0.02215843],"study_design_scores_gemma":[0.0004459666,0.000258238,0.005486702,0.0004655981,0.0002907912,0.0001214377,0.04964318,0.0003392509,0.00009243722,0.00123297,0.9390886,0.002534792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09208937,0.07174853,0.0002673314,0.02438224,0.09248225,0.004112166,0.02651452,0.003436137,0.6849675],"genre_scores_gemma":[0.6013821,0.2708545,0.005381432,0.01100192,0.0149358,0.002904583,0.02451039,0.002144063,0.06688524],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6180822,"threshold_uncertainty_score":0.9998351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006082591072082096,"score_gpt":0.1728451927990716,"score_spread":0.1667626017269895,"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."}}