{"id":"W6966241378","doi":"10.4224/40003074","title":"Une valeur sûre pour the Canada: rapport annuel du CNRC 2000-2001","year":2001,"lang":"fr","type":"report","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Value (mathematics); Yield (engineering); Population","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","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002225318,0.003167733,0.00289956,0.0005108942,0.001667944,0.003248314,0.003617708,0.001783962,0.0002688862],"category_scores_gemma":[0.003648667,0.002767031,0.001724105,0.002451736,0.001796419,0.002471405,0.001182729,0.003406822,0.003107995],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.02386556,"about_ca_system_score_gemma":0.1664128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8238376,"about_ca_topic_score_gemma":0.4372644,"domain_scores_codex":[0.9780135,0.0005489637,0.004057269,0.003270088,0.0101093,0.004000937],"domain_scores_gemma":[0.9815487,0.0007587068,0.003961627,0.004933194,0.006605999,0.002191731],"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":[0.0001570652,0.0009542945,0.1061731,0.0003935251,0.001695653,0.02955922,0.0001962494,0.0001921729,0.0002437174,0.00004558382,0.8340428,0.0263466],"study_design_scores_gemma":[0.0008769451,0.0001957094,0.04010717,0.0009001965,0.001124462,0.04320811,0.0007840145,0.000173849,0.0001152925,0.00008678535,0.9098096,0.002617822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03933636,0.01554645,0.00002814903,0.001493841,0.01752956,0.002057638,0.003712175,0.0006260356,0.9196698],"genre_scores_gemma":[0.1488206,0.001151122,0.00002981177,0.0003630357,0.0104584,0.0002238275,0.0009937661,0.001340325,0.8366191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3865733,"threshold_uncertainty_score":0.9996318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372812478203146,"score_gpt":0.2248787550853593,"score_spread":0.1875975072650446,"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."}}