{"id":"W4414285838","doi":"10.1097/js9.0000000000003512","title":"Bibliometric insights into breast cancer organoid chips: trends and emerging areas – a commentary","year":2025,"lang":"en","type":"article","venue":"International Journal of Surgery","topic":"Bone health and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Organoid; Breast cancer; MEDLINE; Bibliometrics; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03468532,0.0008803667,0.003137233,0.01362397,0.002087286,0.009640428,0.004811469,0.01126114,0.008843308],"category_scores_gemma":[0.2771737,0.0009647736,0.002279624,0.02106405,0.005462009,0.01238776,0.004107592,0.01603295,0.003692658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008679268,"about_ca_system_score_gemma":0.02280626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02984768,"about_ca_topic_score_gemma":0.05308177,"domain_scores_codex":[0.9687436,0.009860251,0.00695489,0.002918541,0.01036465,0.001158178],"domain_scores_gemma":[0.5340989,0.3355053,0.01892794,0.004718195,0.09850535,0.00824434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000763862,0.00001894953,0.001380217,0.003774447,0.0003535318,0.0001178584,0.0004754047,0.00008256136,0.00006095827,0.005715866,0.9310411,0.0569027],"study_design_scores_gemma":[0.0001441033,0.00005230133,0.006301214,0.02886261,0.0005574368,0.0003910849,0.00248884,0.0002392401,0.0001519776,0.01652362,0.9441476,0.0001400634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003850476,0.07803532,0.0002129591,0.8896755,0.02898408,0.00001818079,0.0009445433,0.00003259538,0.001711833],"genre_scores_gemma":[0.0134383,0.1939131,0.0009178761,0.6319768,0.1568586,0.00009827324,0.0009406251,0.000110694,0.001745887],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.986376,"threshold_uncertainty_score":0.1834357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536128016575195,"score_gpt":0.3480219382306893,"score_spread":0.3226606580649374,"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."}}