{"id":"W4244100129","doi":"10.1111/cag.12474","title":"Issue Information / Dans ce numéro","year":2019,"lang":"fr","type":"paratext","venue":"Canadian Geographies / Géographies canadiennes","topic":"Cross-Border Cooperation and Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Section (typography); Library science; Computer science; World Wide Web; Information retrieval","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.0007093543,0.001451753,0.001253922,0.007512421,0.004088403,0.001992843,0.001721175,0.0018111,0.03405455],"category_scores_gemma":[0.0003894774,0.001652404,0.0009816109,0.01314666,0.005578243,0.003539368,0.00009476533,0.001276943,0.0184774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273688,"about_ca_system_score_gemma":0.004016261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9530389,"about_ca_topic_score_gemma":0.9987269,"domain_scores_codex":[0.992678,0.0004957198,0.001586742,0.001158538,0.0009967,0.003084297],"domain_scores_gemma":[0.9930701,0.0002630304,0.0007727269,0.001262057,0.001762087,0.002870054],"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":[0.00002172041,0.00003705234,0.008248146,0.0002808674,0.0003718704,0.00001394874,0.0373548,0.0002693613,0.000008112145,0.06922165,0.8674287,0.01674374],"study_design_scores_gemma":[0.0004388121,0.0002194463,0.005461624,0.0002799413,0.0001322321,0.000014949,0.1202893,0.0001295882,0.00001104348,0.0003092343,0.8710681,0.001645813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07131948,0.00904425,0.00005420113,0.01295686,0.06626632,0.0028973,0.005431865,0.0002462636,0.8317835],"genre_scores_gemma":[0.4265749,0.03732924,0.0002011386,0.01077403,0.005360131,0.0005625561,0.01163283,0.0002906601,0.5072745],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3552554,"threshold_uncertainty_score":0.9998232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008603311329249578,"score_gpt":0.2444507272268715,"score_spread":0.235847415897622,"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."}}