{"id":"W6966538666","doi":"10.4224/40002763","title":"La science à l'oeuvre pour le Canada: Conseil national de recherches Canada : rapport annuel du CNRC 2004-2005","year":2005,"lang":"fr","type":"report","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Work (physics); Selection (genetic algorithm); Perspective (graphical)","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","research_integrity"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.006180954,0.001714572,0.001514688,0.0007171232,0.001529987,0.001960556,0.002537238,0.00127101,0.00003962482],"category_scores_gemma":[0.01358916,0.002067716,0.00047642,0.001563379,0.004092307,0.00274761,0.0006481062,0.002607483,0.0001136325],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.136384,"about_ca_system_score_gemma":0.9557591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981776,"about_ca_topic_score_gemma":0.9930633,"domain_scores_codex":[0.9808012,0.0005612993,0.002467444,0.002573159,0.01050198,0.003094956],"domain_scores_gemma":[0.9832239,0.001484673,0.002136446,0.001405226,0.009220956,0.002528756],"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":[0.00007891452,0.0005885098,0.009411765,0.0002593112,0.0004623077,0.006566204,0.0001722984,0.001164616,0.002079123,0.0001775423,0.9615402,0.01749922],"study_design_scores_gemma":[0.0006664579,0.00004430279,0.03766234,0.000620079,0.0001576587,0.02244963,0.0007112331,0.0003934728,0.001980463,0.00008165486,0.9333124,0.001920362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03706671,0.008070777,0.00002645099,0.001348904,0.004629761,0.0007483849,0.003221035,0.0002422266,0.9446458],"genre_scores_gemma":[0.4475223,0.00009181585,0.0003457736,0.0003352665,0.002328314,0.00008773329,0.0002046391,0.0003348013,0.5487494],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8193752,"threshold_uncertainty_score":0.9997699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06090888627451829,"score_gpt":0.2641015221686757,"score_spread":0.2031926358941574,"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."}}