{"id":"W6957951532","doi":"10.6084/m9.figshare.26587008.v1","title":"Additional file 4 of Acupuncture for post-stroke depression: a systematic review and network meta-analysis","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Superconducting Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Acupuncture; MEDLINE; Key (lock); Feature (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004298769,0.001716699,0.003247223,0.004628492,0.0008757669,0.001987522,0.001952397,0.00187125,0.7922851],"category_scores_gemma":[0.07260998,0.001051031,0.005014781,0.007189352,0.000395333,0.002605377,0.001620303,0.001189469,0.02891929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618603,"about_ca_system_score_gemma":0.003499065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007228139,"about_ca_topic_score_gemma":0.01564732,"domain_scores_codex":[0.9976388,0.0006556956,0.0006551421,0.0004440447,0.0003479575,0.0002583266],"domain_scores_gemma":[0.9404532,0.05090715,0.004362586,0.001253683,0.00249707,0.0005264067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.005041988,0.0002286436,0.007315342,0.4683944,0.006920451,0.0003140963,0.0003219185,0.002085412,0.0004507638,0.003359749,0.4808751,0.02469217],"study_design_scores_gemma":[0.09301184,0.002243707,0.09705382,0.1785594,0.04998252,0.0019522,0.001347948,0.006926662,0.001798421,0.04009856,0.5262682,0.0007567555],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000764077,0.0006902766,0.0005604691,0.0002496352,0.00007748987,0.0006800344,0.9959621,0.0001661787,0.0008496573],"genre_scores_gemma":[0.07839734,0.004955017,0.02449321,0.003953564,0.0006606454,0.0683297,0.7882843,0.001266127,0.02966007],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7922851,"threshold_uncertainty_score":0.2962801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217607099835065,"score_gpt":0.2613180661744992,"score_spread":0.2091419951761486,"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."}}