{"id":"W4396624268","doi":"10.32388/44kcvv","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 science; Environmental resource management; Physical geography","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":[0.01683032,0.0008977554,0.001511539,0.01371081,0.004588494,0.008431092,0.002734729,0.002424016,0.07409908],"category_scores_gemma":[0.09777117,0.000448515,0.001046691,0.01451005,0.002487037,0.003627463,0.003176896,0.002272997,0.01914588],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02668288,"about_ca_system_score_gemma":0.1793793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5385909,"about_ca_topic_score_gemma":0.7319237,"domain_scores_codex":[0.9847216,0.002278854,0.001030321,0.0006807105,0.01054191,0.0007466235],"domain_scores_gemma":[0.8831162,0.01069974,0.003041287,0.001871817,0.0936259,0.007645077],"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":[0.00001106932,0.000002605844,0.0001495316,0.001327776,0.00001240945,0.00002654875,0.000109079,0.00003707972,0.00005706924,0.00145928,0.974544,0.02226354],"study_design_scores_gemma":[0.000007558601,0.000007143936,0.001693055,0.003408221,0.00003299834,0.00002969742,0.0002137021,0.0000467997,0.00005486849,0.000323109,0.9941658,0.00001708855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002235997,0.1459326,0.002336406,0.4704724,0.2283021,0.001070161,0.03291816,0.0008208407,0.1159113],"genre_scores_gemma":[0.04763909,0.2688481,0.01075941,0.1293124,0.06039045,0.001361003,0.04218674,0.001794445,0.4377084],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9862892,"threshold_uncertainty_score":0.9282528,"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."}}