{"id":"W2801222526","doi":"10.4095/288849","title":"L'Infrastructure canadienne de données : De meilleures connaissances pour de meilleures décisions","year":2005,"lang":"fr","type":"report","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.01547423,0.001335994,0.001919324,0.001153852,0.001423699,0.001626989,0.005121575,0.001262823,0.03976607],"category_scores_gemma":[0.01495008,0.001055559,0.0008948043,0.001295635,0.001332689,0.000933359,0.001632009,0.001472521,0.0007681383],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002615524,"about_ca_system_score_gemma":0.01019297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08892637,"about_ca_topic_score_gemma":0.3811839,"domain_scores_codex":[0.9865867,0.001616601,0.002779505,0.002341135,0.003055393,0.003620646],"domain_scores_gemma":[0.9885734,0.004002061,0.00143069,0.002715991,0.00101734,0.00226049],"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":[0.00005925773,0.0001950281,0.005310092,0.0001979251,0.0004335881,0.0008359532,0.002382771,0.004134918,0.0001136533,0.05007534,0.6741751,0.2620864],"study_design_scores_gemma":[0.0006177835,0.0001227138,0.0354317,0.0004043615,0.0003797916,0.0009472515,0.01433771,0.001810387,0.0001893403,0.04742792,0.8971725,0.001158518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08533785,0.02578446,0.07024383,0.05619034,0.008201915,0.002103319,0.003991992,0.0005923882,0.7475539],"genre_scores_gemma":[0.2606227,0.03199293,0.05861734,0.01362625,0.004759418,0.0001995163,0.0004006294,0.0002119976,0.6295692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2922575,"threshold_uncertainty_score":0.9999391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1692031461241214,"score_gpt":0.3944777780384163,"score_spread":0.225274631914295,"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."}}