{"id":"W6929103477","doi":"10.4224/21277164","title":"Évaluation du portefeuille Science des mesures at étalons du CNRC","year":2015,"lang":"fr","type":"report","venue":"","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Western europe; Public policy; Canadian studies","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":["metaresearch","sts","insufficient_payload"],"category_scores_codex":[0.1944603,0.0008781897,0.001182424,0.002090649,0.003879698,0.002458891,0.003230876,0.0005679314,0.02755464],"category_scores_gemma":[0.09687875,0.0006590291,0.0005933298,0.005917982,0.005266231,0.002242318,0.001238496,0.00040819,0.007315814],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0071324,"about_ca_system_score_gemma":0.02597273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002088863,"about_ca_topic_score_gemma":0.009776173,"domain_scores_codex":[0.9486991,0.001234895,0.003035369,0.003112986,0.04242732,0.001490297],"domain_scores_gemma":[0.954114,0.00142211,0.001949689,0.002314694,0.03907164,0.001127887],"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":[0.00007455813,0.0003305094,0.07999825,0.0000479813,0.00008980618,0.00003579287,0.003964025,0.003008524,0.006976737,0.001820648,0.5716385,0.3320147],"study_design_scores_gemma":[0.001416355,0.0003607959,0.1108741,0.0003338589,0.0005600471,0.0003600046,0.003195183,0.06370258,0.003770037,0.03466601,0.7791827,0.001578364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2789647,0.002816475,0.003254681,0.002053062,0.02129964,0.00154193,0.00006753636,0.0001590212,0.689843],"genre_scores_gemma":[0.5156831,0.0008637005,0.002927743,0.0001835119,0.001558489,0.00008785332,0.0002055956,0.00005754611,0.4784324],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3304363,"threshold_uncertainty_score":0.9995861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7256203763906934,"score_gpt":0.4741592370319718,"score_spread":0.2514611393587216,"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."}}