{"id":"W6907572811","doi":"10.25318/3610001501-fra","title":"Indicateurs financiers, sociétés et entreprises publiques, trimestriel, 1990 - 2012","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Limiting; Economic shortage","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","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001458762,0.001576085,0.001487668,0.0007783693,0.000501844,0.0006374862,0.001524643,0.001116323,0.005724485],"category_scores_gemma":[0.007466863,0.001942675,0.0001512544,0.0014314,0.0004908501,0.001063675,0.0004114242,0.002068799,0.003013042],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005387009,"about_ca_system_score_gemma":0.02478805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4231226,"about_ca_topic_score_gemma":0.5270771,"domain_scores_codex":[0.9904692,0.001063678,0.001882723,0.001802188,0.002930563,0.001851701],"domain_scores_gemma":[0.9896078,0.00341116,0.002909892,0.001810108,0.001366732,0.0008942875],"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":[0.0001133831,0.000441884,0.0002022481,0.0009574703,0.0003504471,0.0004222404,0.000130733,0.0000548514,0.00005503079,0.007195851,0.9812497,0.008826152],"study_design_scores_gemma":[0.0008461011,0.0001864559,0.0128576,0.0006920171,0.001027812,0.00004189275,0.0004298433,0.0001539716,0.0001841665,0.0006976163,0.9810243,0.001858192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007731294,0.00441932,0.002387733,0.002209435,0.006031379,0.001832085,0.9825205,0.00008097356,0.0004412142],"genre_scores_gemma":[0.000687732,0.002896029,0.002270423,0.0007259953,0.0002917703,0.0001698013,0.9685227,0.000373936,0.02406158],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1039545,"threshold_uncertainty_score":0.9996987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912328066981242,"score_gpt":0.3232260832291491,"score_spread":0.3041028025593367,"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."}}