{"id":"W4395011888","doi":"10.32388/aphl2q","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; Physical geography; Environmental resource management; 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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01040269,0.0009748158,0.001135536,0.01063287,0.006037043,0.0078453,0.002595403,0.003089881,0.08778975],"category_scores_gemma":[0.05939102,0.000432381,0.0009411371,0.01169257,0.002223466,0.002886384,0.002546165,0.002580627,0.04017885],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02021082,"about_ca_system_score_gemma":0.1134755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7278078,"about_ca_topic_score_gemma":0.8620898,"domain_scores_codex":[0.9865434,0.001008014,0.0005372888,0.0004719992,0.01055695,0.0008823355],"domain_scores_gemma":[0.9109554,0.007332299,0.001412522,0.001433416,0.07357596,0.005290492],"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":[0.000003553906,0.000001509204,0.00005175726,0.00009395206,0.000001462388,0.000008600474,0.00002531221,0.00001172571,0.00002231989,0.0002433742,0.9960238,0.003512621],"study_design_scores_gemma":[0.000006696503,0.00000507408,0.001902983,0.0003281104,0.000008329522,0.000009705905,0.0001563132,0.00004688045,0.000052587,0.0001726873,0.9972963,0.00001425059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002727328,0.02242294,0.001967889,0.4161956,0.2544135,0.001414095,0.06718141,0.00239089,0.2312865],"genre_scores_gemma":[0.01832972,0.02454995,0.004808373,0.1254063,0.04337703,0.0009032701,0.03648446,0.001945716,0.7441952],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9893671,"threshold_uncertainty_score":0.5475904,"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."}}