{"id":"W4213032808","doi":"10.21203/rs.2.12336/v2","title":"Trends analysis of cancer topic of Cochrane systematic reviews: a bibliometric analysis","year":2019,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematic review; Meta-analysis; Data science; Medicine; MEDLINE; Computer science; Political science; Internal medicine","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":[0.04524114,0.001711738,0.008725747,0.2147131,0.001575226,0.00675514,0.001978017,0.001379031,0.004066303],"category_scores_gemma":[0.2868489,0.001081071,0.01382971,0.2637658,0.00113004,0.006588086,0.004883683,0.001286793,0.0007231771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005838414,"about_ca_system_score_gemma":0.01293238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007287118,"about_ca_topic_score_gemma":0.007608108,"domain_scores_codex":[0.9142789,0.02306289,0.029375,0.00644372,0.02526386,0.001575645],"domain_scores_gemma":[0.70109,0.2040378,0.05554853,0.007136663,0.03063072,0.001556341],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001647672,0.0002034479,0.4042437,0.2747483,0.04029959,0.0008753719,0.005021658,0.005581736,0.001390657,0.005921552,0.01834155,0.2417249],"study_design_scores_gemma":[0.0009896548,0.001406307,0.6571943,0.09652746,0.08336356,0.004004793,0.013173,0.03100556,0.003301364,0.01578733,0.09252829,0.0007183784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3672287,0.4241527,0.02178303,0.006981666,0.0007642377,0.01180132,0.1505105,0.001573043,0.01520481],"genre_scores_gemma":[0.7836794,0.1181365,0.04053096,0.000583512,0.0005440232,0.01943453,0.03507028,0.0004369803,0.001583832],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9547589,"threshold_uncertainty_score":0.2392609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8344158763223873,"score_gpt":0.6738936638103186,"score_spread":0.1605222125120688,"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."}}