{"id":"W2538874026","doi":"","title":"Scientific positioning of British Columbia’s health research: A bibliometric analysis (1985–2004","year":2006,"lang":"en","type":"article","venue":"","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bibliometrics; Geography; Library science; Computer 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":[0.005760184,0.0003567975,0.0009918758,0.06271876,0.00299486,0.005437382,0.001637183,0.0007642644,0.002991153],"category_scores_gemma":[0.03680211,0.0004003606,0.0004831444,0.1459478,0.00134074,0.001383019,0.002124271,0.0008545397,0.0005163013],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04969616,"about_ca_system_score_gemma":0.05865851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9549223,"about_ca_topic_score_gemma":0.9785455,"domain_scores_codex":[0.9901718,0.0011375,0.001558788,0.000754335,0.005543744,0.0008338006],"domain_scores_gemma":[0.9252214,0.01336338,0.01043666,0.002098126,0.04510078,0.003779573],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000322084,0.00007555777,0.7972909,0.002888108,0.001063029,0.0005455776,0.007162602,0.001849673,0.000829163,0.005688915,0.03496496,0.1473195],"study_design_scores_gemma":[0.000005168448,0.00001085547,0.9785341,0.0002916361,0.0001301102,0.00005730651,0.001658999,0.0003198221,0.0001288237,0.0001093717,0.01873579,0.00001804662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8346746,0.06321624,0.0006728834,0.008568829,0.0002147014,0.0001154402,0.03940672,0.000109628,0.05302102],"genre_scores_gemma":[0.9648247,0.01483411,0.0008257215,0.0003777909,0.00008417757,0.0000456647,0.01149581,0.00002752053,0.007484446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9942398,"threshold_uncertainty_score":0.3605726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3088371929576602,"score_gpt":0.495664736351666,"score_spread":0.1868275433940059,"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."}}