{"id":"W6981755691","doi":"","title":"Évolution de la géographie décisionnelle au Canada : une analyse basée sur les activités de fusion et d'acquisition (F&amp;A) entre 1994 et 2016","year":2019,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agricultural development; Urban hierarchy; Typhoid vaccine","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":[0.0005934098,0.000213487,0.0002763401,0.002308986,0.00241905,0.003957517,0.0005888425,0.0004037091,0.005994732],"category_scores_gemma":[0.002745903,0.0001915856,0.0003759276,0.006211597,0.001730182,0.0009612647,0.001357906,0.0008640465,0.0003050647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0347442,"about_ca_system_score_gemma":0.05113984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866924,"about_ca_topic_score_gemma":0.9924866,"domain_scores_codex":[0.9990041,0.00008699401,0.00002966678,0.0001286301,0.0004421263,0.0003084341],"domain_scores_gemma":[0.9970673,0.0005339469,0.0004223952,0.00007690342,0.00140605,0.0004934967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002741716,0.00007558346,0.7654374,0.0003118589,0.0002617799,0.0007255389,0.03383528,0.008629042,0.002181274,0.04676316,0.01528346,0.1262214],"study_design_scores_gemma":[0.00000779231,0.00004494483,0.8744274,0.0001805019,0.00006973444,0.0000886664,0.03914709,0.003982024,0.000876181,0.001596736,0.07950418,0.00007476898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430848,0.002069194,0.002714083,0.003646845,0.00003888607,0.00006185324,0.004984428,0.00006360911,0.04333635],"genre_scores_gemma":[0.9828165,0.001267459,0.0009498178,0.0001259484,0.000007204134,0.00001671199,0.001092212,0.00001912744,0.01370517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0347442,"threshold_uncertainty_score":0.252088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485303325960077,"score_gpt":0.2127881863098537,"score_spread":0.1979351530502529,"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."}}