{"id":"W6939937290","doi":"10.6084/m9.figshare.26702116","title":"Additional file 6 of Exploring the effectiveness of molecular subtypes, biomarkers, and genetic variations as first-line treatment predictors in Asian breast cancer patients: a systematic review and meta-analysis","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohort; Breast cancer; Table (database); Scale (ratio); Cohort study; Genetic variants; Quality (philosophy)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004800139,0.001708964,0.00409206,0.00484008,0.0007422267,0.002163383,0.002023024,0.001664066,0.7672538],"category_scores_gemma":[0.06362768,0.0009966756,0.005904855,0.00691181,0.0003283319,0.003633528,0.001484862,0.001149096,0.02805622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002219718,"about_ca_system_score_gemma":0.004054492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005985593,"about_ca_topic_score_gemma":0.01699497,"domain_scores_codex":[0.9978309,0.0005693192,0.0006848817,0.0003725262,0.0003477909,0.0001945217],"domain_scores_gemma":[0.9528635,0.03826157,0.004492323,0.001160351,0.002829919,0.0003923023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002403801,0.0001102221,0.004677472,0.6305101,0.005094979,0.0002024208,0.0002438135,0.0008962901,0.0004225189,0.002232703,0.3340748,0.01913095],"study_design_scores_gemma":[0.04868374,0.001286056,0.0776826,0.248746,0.03494031,0.001368666,0.001002711,0.005390914,0.001598147,0.02362492,0.5550442,0.0006317294],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.0007360411,0.001490119,0.0006802536,0.0005308324,0.0001116185,0.001396956,0.9937134,0.0003115988,0.001029169],"genre_scores_gemma":[0.05809558,0.008334931,0.03380664,0.006035,0.0008588454,0.0894579,0.7549884,0.001840427,0.0465822],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7672538,"threshold_uncertainty_score":0.3319842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406167181642828,"score_gpt":0.2257194439792066,"score_spread":0.2016577721627783,"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."}}