{"id":"W4317878646","doi":"10.1370/afm.21.s1.3938","title":"Impact of Canadian Primary Health Care Research and Researchers: A Citation Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Bibliometrics; Scopus; Citation; Science Citation Index; Nomination; Citation analysis; Impact factor; Library science; Medicine; MEDLINE; Computer science; Geography; Political 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":[0.0224585,0.001075391,0.002281037,0.09682509,0.008507598,0.01477422,0.002974419,0.001282986,0.009042446],"category_scores_gemma":[0.1581844,0.0006393114,0.002423045,0.1990119,0.002096899,0.00361337,0.005409698,0.001323474,0.001173811],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09637204,"about_ca_system_score_gemma":0.2193641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9514302,"about_ca_topic_score_gemma":0.9378259,"domain_scores_codex":[0.9622962,0.002615859,0.004949882,0.0019174,0.02492112,0.003299415],"domain_scores_gemma":[0.8313972,0.03608555,0.01656365,0.003596187,0.1051899,0.007167562],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003847739,0.0001131178,0.5192726,0.03149823,0.002330529,0.0007573343,0.01480254,0.001915329,0.0004465231,0.030639,0.1938639,0.2039762],"study_design_scores_gemma":[0.000105266,0.0001024138,0.7570438,0.01059797,0.00226456,0.0004385293,0.01453178,0.002394691,0.0008154727,0.003703638,0.2077568,0.0002451958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2754377,0.08208251,0.004140467,0.03951359,0.001836752,0.00351816,0.459358,0.0006029028,0.1335099],"genre_scores_gemma":[0.7949653,0.05465679,0.02008788,0.002197273,0.0008146112,0.002984968,0.107979,0.0002880506,0.01602606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9775415,"threshold_uncertainty_score":0.6992314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4314525329734311,"score_gpt":0.6192478648867027,"score_spread":0.1877953319132716,"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."}}