{"id":"W3166122087","doi":"10.2196/26691","title":"Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Breast cancer; Field (mathematics); Thematic analysis; Computer science; Cancer; Medicine; Qualitative research; Social science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009747489,0.000434714,0.0006757671,0.0705936,0.0012,0.004527608,0.0008474616,0.0005466616,0.002532503],"category_scores_gemma":[0.0436822,0.0001950343,0.001096262,0.07183056,0.001385554,0.004454584,0.002689213,0.0004228181,0.0004031528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00277028,"about_ca_system_score_gemma":0.004235208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003899969,"about_ca_topic_score_gemma":0.00395284,"domain_scores_codex":[0.9914092,0.003114129,0.001764069,0.001103658,0.002278585,0.0003303881],"domain_scores_gemma":[0.955347,0.0322917,0.006367546,0.001202276,0.004342746,0.0004487605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004127294,0.0001329114,0.3201959,0.01726666,0.0008428465,0.001690693,0.1088953,0.002084238,0.004631354,0.01653624,0.005342191,0.5219689],"study_design_scores_gemma":[0.00005961813,0.0002842264,0.6128531,0.006084649,0.001237974,0.003603258,0.2447781,0.01861687,0.005725738,0.03539072,0.07115199,0.0002138235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245591,0.01348209,0.03262823,0.001815043,0.0001316484,0.001615288,0.009005081,0.0002457092,0.01651784],"genre_scores_gemma":[0.9438602,0.005563613,0.04381175,0.00008449377,0.00007121471,0.001180804,0.004384393,0.00004268132,0.001000768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9294064,"threshold_uncertainty_score":0.05155027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04002794781525537,"score_gpt":0.3913717808718544,"score_spread":0.3513438330565991,"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."}}