{"id":"W7106001888","doi":"10.60870/fabx-mp29","title":"L’état de la science, de la technologie et de l’innovation au Canada 2025","year":2025,"lang":"","type":"report","venue":"CCA_Repo","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Field (mathematics); Work (physics); 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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.03484606,0.001683799,0.001788122,0.005895582,0.001939088,0.001200371,0.003763607,0.003448771,0.0001387036],"category_scores_gemma":[0.0632031,0.001899669,0.0003523346,0.0245192,0.008157696,0.0005640066,0.002091947,0.005576888,0.00008821394],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.09461556,"about_ca_system_score_gemma":0.6523023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7180265,"about_ca_topic_score_gemma":0.3252412,"domain_scores_codex":[0.9838932,0.001527811,0.002927026,0.003060035,0.004331589,0.00426039],"domain_scores_gemma":[0.986062,0.002845607,0.003025616,0.003496242,0.003934307,0.0006362143],"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":[0.00021529,0.001430359,0.2381144,0.004098005,0.001506791,0.01822842,0.0006010361,0.00589911,0.2205965,0.1137647,0.3203003,0.0752451],"study_design_scores_gemma":[0.0009289937,0.00008830221,0.04695125,0.002373122,0.0006594322,0.005910382,0.0005958026,0.001056498,0.03988862,0.008208328,0.891402,0.001937244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1539774,0.00191273,0.001650893,0.0007933523,0.002615038,0.001567079,0.0005506132,0.0009677624,0.8359652],"genre_scores_gemma":[0.9656675,0.002874385,0.004310196,0.0004861738,0.0005050725,0.0005441849,0.0003160241,0.0003831237,0.02491335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8116902,"threshold_uncertainty_score":0.9998365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878958389730697,"score_gpt":0.3531318365854784,"score_spread":0.3343422526881714,"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."}}