{"id":"W2621368193","doi":"","title":"Bibliometric Analysis of Research Supported by the National Cancer Institute of Canada – Phase II","year":2009,"lang":"en","type":"article","venue":"","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Phase (matter); Political science; 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":[0.01404545,0.0006921449,0.001900622,0.1009225,0.002847459,0.005676794,0.00189577,0.0007481866,0.005159836],"category_scores_gemma":[0.04830528,0.0002653396,0.001364101,0.1601844,0.0009025227,0.001152845,0.00223319,0.0006871579,0.001567416],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02890272,"about_ca_system_score_gemma":0.1282499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6021196,"about_ca_topic_score_gemma":0.6265296,"domain_scores_codex":[0.9726884,0.002745677,0.002122765,0.001229442,0.01885216,0.002361546],"domain_scores_gemma":[0.901855,0.009739842,0.008304078,0.002817712,0.07243317,0.004850334],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002101441,0.0006622371,0.4503698,0.009955448,0.002726878,0.0005576893,0.003346195,0.00343063,0.007621099,0.0120464,0.1727876,0.3343946],"study_design_scores_gemma":[0.0001205942,0.0002222293,0.8411033,0.0008214219,0.001116802,0.0002182176,0.002347231,0.001337364,0.004458549,0.0006248273,0.14756,0.00006942772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4683051,0.0395924,0.003890951,0.008547856,0.001157608,0.002855269,0.3082691,0.0008717839,0.16651],"genre_scores_gemma":[0.7589318,0.01794695,0.007610931,0.0008853998,0.0007327088,0.001852162,0.1828548,0.0002203964,0.02896474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9859545,"threshold_uncertainty_score":0.8004471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6370560247470263,"score_gpt":0.6432071427948152,"score_spread":0.006151118047788895,"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."}}