{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008329343,0.001233036,0.001171188,0.004600532,0.0008007331,0.001409048,0.001743945,0.001018606,0.01122798],"category_scores_gemma":[0.006894002,0.0004678259,0.0009780802,0.008448714,0.0004055371,0.0006375122,0.001010883,0.00146064,0.01022859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002574039,"about_ca_system_score_gemma":0.003862195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4804604,"about_ca_topic_score_gemma":0.5728887,"domain_scores_codex":[0.9991499,0.00008333,0.0001223292,0.0002127259,0.0002056659,0.0002259856],"domain_scores_gemma":[0.9968287,0.0005947262,0.0004504262,0.0003248041,0.00143957,0.0003618831],"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":[0.0002415776,0.00004717896,0.04377163,0.0008919624,0.0001261412,0.00007195881,0.0001352381,0.0007071882,0.0002079953,0.000498672,0.9483539,0.00494665],"study_design_scores_gemma":[0.0004308321,0.00005138822,0.4274268,0.0006143561,0.0001461908,0.0002306293,0.001426704,0.001424695,0.0006015606,0.0006777177,0.566889,0.00008010488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003694997,0.00018059,0.00003984643,0.0001177128,0.0000242783,0.00001262325,0.9951787,0.00008033341,0.0006709669],"genre_scores_gemma":[0.006325936,0.0001843238,0.0001750712,0.00005458311,0.00001174665,0.00004419971,0.9917207,0.00001955963,0.001463934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5195396,"threshold_uncertainty_score":0.9553276,"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."}}