{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005138624,0.001309309,0.0008698368,0.003523715,0.006767238,0.007812691,0.002356236,0.00843413,0.05114194],"category_scores_gemma":[0.01041779,0.001050386,0.00165358,0.002727049,0.002311007,0.001711453,0.003239847,0.006007814,0.01287602],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1195624,"about_ca_system_score_gemma":0.5124087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925966,"about_ca_topic_score_gemma":0.9943198,"domain_scores_codex":[0.9812983,0.0004829548,0.0002287417,0.0003687254,0.01308305,0.004538316],"domain_scores_gemma":[0.9762844,0.0008845542,0.0003660638,0.0003960219,0.0157696,0.006299366],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009908028,0.00007082468,0.001297574,0.0001333295,0.00003029366,0.00007237029,0.0001278732,0.0003421226,0.0004673701,0.01861007,0.9697137,0.009035488],"study_design_scores_gemma":[0.00006132903,0.00003368039,0.008255385,0.0001232003,0.00002242849,0.00002528909,0.0003047615,0.0006037721,0.0006853238,0.001696596,0.9881412,0.00004712401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01324152,0.006917959,0.004281006,0.1707791,0.01068705,0.001496231,0.1196757,0.002442959,0.6704785],"genre_scores_gemma":[0.0336735,0.003052179,0.007611292,0.02519304,0.0004835112,0.0004440315,0.01518095,0.0003718887,0.9139895],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9948614,"threshold_uncertainty_score":0.8674901,"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."}}