{"id":"W6945355333","doi":"10.25318/3310076601-fra","title":"Nombre d'entreprises canadiennes, avec employés, régions métropolitaines de recensement et subdivisions de recensement, décembre 2024","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Subdivision; Census","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"],"consensus_categories":[],"category_scores_codex":[0.0009236364,0.0008580055,0.0006716361,0.0004987992,0.001034901,0.0005162588,0.001508454,0.0003322762,0.0003675933],"category_scores_gemma":[0.002122541,0.0009932322,0.0001284674,0.001269663,0.000258128,0.0002858356,0.0005585036,0.0008764055,0.000008939748],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002958696,"about_ca_system_score_gemma":0.007959728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5339683,"about_ca_topic_score_gemma":0.9284036,"domain_scores_codex":[0.9942986,0.0009144688,0.001062289,0.001244101,0.0008718763,0.001608709],"domain_scores_gemma":[0.9941671,0.002060904,0.0005912119,0.001396132,0.0008997496,0.0008848744],"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":[0.00001508763,0.0002039259,0.000138763,0.0004372049,0.0001843453,0.0007853743,0.0006823054,0.0002154175,0.00002200291,0.1284211,0.8532838,0.01561077],"study_design_scores_gemma":[0.0003689331,0.0001633709,0.004796284,0.001354478,0.0004742906,0.0001237167,0.001031654,0.008250556,0.0001413386,0.02095828,0.9611665,0.001170583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002931567,0.000790887,0.165169,0.005179154,0.003731624,0.0006324633,0.8238783,0.00005577619,0.0002695577],"genre_scores_gemma":[0.00179957,0.002777042,0.02518985,0.001894381,0.000239642,0.0001898668,0.9364808,0.00005547316,0.03137334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3944352,"threshold_uncertainty_score":0.9992518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024523290482778,"score_gpt":0.2772774050002575,"score_spread":0.2670321720954298,"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."}}