{"id":"W6889051965","doi":"10.25318/3310020501-fra","title":"Importance des raisons justifiant la relocalisation des activités de services de technologies de l’information et des communications (TIC) au Canada, selon l'industrie et la taille de l’entreprise","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limiting; Legislation; Liberian dollar","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":[0.002557684,0.0004274568,0.0003764464,0.003291254,0.003513207,0.005408254,0.0009017182,0.0007089211,0.006769774],"category_scores_gemma":[0.009746325,0.0003288641,0.0005021847,0.005833638,0.002665342,0.001499421,0.001705179,0.001731586,0.0005757608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03766707,"about_ca_system_score_gemma":0.05860861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9440017,"about_ca_topic_score_gemma":0.9634022,"domain_scores_codex":[0.9947584,0.0003660617,0.000170483,0.000562163,0.002781387,0.001361345],"domain_scores_gemma":[0.9848395,0.002453294,0.002544965,0.0005105166,0.008151725,0.001500087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003848143,0.00007990759,0.6543157,0.001065318,0.0004061953,0.0010165,0.04082371,0.003826575,0.007001576,0.06546547,0.01857625,0.2070382],"study_design_scores_gemma":[0.000008605369,0.00004576783,0.8605096,0.0003646903,0.00009256126,0.0001465209,0.02335028,0.000917874,0.0019406,0.001951578,0.1106094,0.00006252385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.778161,0.006688086,0.004640951,0.01507156,0.0001379938,0.0001596051,0.004792035,0.0001796682,0.1901691],"genre_scores_gemma":[0.9715093,0.00201721,0.001725426,0.0004517491,0.00003757017,0.00002665092,0.0009146263,0.00003453526,0.02328289],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05599827,"threshold_uncertainty_score":0.273295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192100974196976,"score_gpt":0.2667036516871446,"score_spread":0.2547826419451749,"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."}}