{"id":"W4393310426","doi":"10.32388/u1q6oi","title":"Review of: \"Mapping the Canadian Research Landscape in 2023\"","year":2024,"lang":"en","type":"peer-review","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental resource management; Environmental planning; Environmental science","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","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01717144,0.0009315831,0.0009903843,0.01138258,0.009167868,0.01305061,0.002661202,0.004324678,0.02558096],"category_scores_gemma":[0.08164162,0.0003685514,0.0006706003,0.01200006,0.005454906,0.004052371,0.002949542,0.004254688,0.009646003],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03592665,"about_ca_system_score_gemma":0.2084232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8355901,"about_ca_topic_score_gemma":0.945506,"domain_scores_codex":[0.9799852,0.001816965,0.0006499235,0.0006690541,0.0158369,0.001041881],"domain_scores_gemma":[0.8955236,0.01332228,0.002525122,0.001963264,0.07850026,0.008165487],"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":[0.000004506125,0.000003481446,0.0001579655,0.0001904251,0.000004218331,0.00001548712,0.0001309987,0.00002829566,0.0000387468,0.002942174,0.9828182,0.01366552],"study_design_scores_gemma":[0.000004457698,0.000004121761,0.001861218,0.0004283626,0.00001452143,0.00001401677,0.0003727954,0.00005470107,0.00006169328,0.0009516633,0.9962144,0.00001804361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001434535,0.04465061,0.001388359,0.7102668,0.1209718,0.0002833812,0.006913017,0.0006093543,0.113482],"genre_scores_gemma":[0.04166114,0.08057702,0.00729918,0.4021639,0.06662738,0.0003670275,0.007120907,0.001152658,0.3930308],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9886174,"threshold_uncertainty_score":0.3307563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8759368815138101,"score_gpt":0.6685511741176582,"score_spread":0.2073857073961519,"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."}}