{"id":"W6910412436","doi":"10.4224/40003403","title":"Research powering innovation for Canada: NRC 2024–2029 strategic plan","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":"Strategic planning; Plan (archaeology); Work (physics); Government (linguistics)","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":[0.01321849,0.002119468,0.002036977,0.009840271,0.01104849,0.01674107,0.005002175,0.01444263,0.1054472],"category_scores_gemma":[0.02431972,0.002190518,0.002351974,0.008442584,0.003115207,0.003830949,0.005901564,0.006978504,0.07051598],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09773096,"about_ca_system_score_gemma":0.6089808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9755062,"about_ca_topic_score_gemma":0.9820005,"domain_scores_codex":[0.9738429,0.0007493208,0.0004343997,0.0005164671,0.01987145,0.004585404],"domain_scores_gemma":[0.9271017,0.002533262,0.0008496635,0.001828892,0.05030411,0.01738242],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007337413,0.00005990798,0.0003092668,0.000134718,0.00001332995,0.00005430993,0.00005869157,0.0002638582,0.0002350374,0.006408879,0.9843024,0.008086155],"study_design_scores_gemma":[0.00007743263,0.00003762477,0.001744149,0.0002060047,0.00002450302,0.0000266875,0.0002726507,0.0005205385,0.0006610393,0.001359358,0.995027,0.00004295549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00520044,0.004862335,0.004505394,0.09970871,0.01216031,0.003726958,0.2026468,0.005475593,0.6617134],"genre_scores_gemma":[0.008949824,0.003111884,0.007593538,0.01186273,0.0003888175,0.0007157458,0.0384173,0.0007516083,0.9282086],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9867815,"threshold_uncertainty_score":0.7090911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460820747534032,"score_gpt":0.3711665111820036,"score_spread":0.2250844364286004,"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."}}