{"id":"W6966873169","doi":"10.4224/40003418","title":"2023–2024 annual report: driving research and innovation for Canada's future","year":2024,"lang":"en","type":"report","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Production (economics); Quality (philosophy)","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":[],"consensus_categories":[],"category_scores_codex":[0.006220128,0.001631825,0.001199123,0.005907467,0.00757238,0.01100795,0.003247622,0.007779568,0.1207065],"category_scores_gemma":[0.01486754,0.001281293,0.001490731,0.00669947,0.001576882,0.002755551,0.003803218,0.00453776,0.08383746],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05965549,"about_ca_system_score_gemma":0.4398515,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804898,"about_ca_topic_score_gemma":0.987615,"domain_scores_codex":[0.9853657,0.0003174792,0.0002994894,0.0002644338,0.01132621,0.002426639],"domain_scores_gemma":[0.9585782,0.001019819,0.0005066566,0.0006507225,0.03164721,0.007597276],"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":[0.00002701719,0.00001667767,0.000238008,0.00006116382,0.000004281612,0.0000134637,0.00002591739,0.00006557353,0.00007250864,0.0009260324,0.9946284,0.003920956],"study_design_scores_gemma":[0.00003038818,0.00001423715,0.003362949,0.0001092686,0.00001461829,0.00001023221,0.000216422,0.0001546131,0.0003217174,0.0003936646,0.9953445,0.00002741327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004006438,0.004024781,0.00153781,0.05696826,0.01181208,0.001582278,0.4175194,0.003699456,0.4988495],"genre_scores_gemma":[0.007277543,0.002553596,0.003777135,0.009559839,0.0003600648,0.000532291,0.05743709,0.0008401377,0.9176624],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9403445,"threshold_uncertainty_score":0.4328329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830026330103261,"score_gpt":0.3460421449565693,"score_spread":0.3077418816555367,"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."}}