{"id":"W4414026166","doi":"10.1111/anae.16749","title":"The fewer the better or the more the merrier? The challenges of large research collaborations","year":2025,"lang":"en","type":"editorial","venue":"Anaesthesia","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Health and Medical Research Council; Stan Perron Charitable Foundation","keywords":"Medicine; Data science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06151976,0.005175579,0.006507228,0.00858221,0.00822418,0.02362635,0.006891293,0.03194555,0.01049677],"category_scores_gemma":[0.1934296,0.002338449,0.003597004,0.004911697,0.009096914,0.009765553,0.003206815,0.03105838,0.007039659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008247994,"about_ca_system_score_gemma":0.0105725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004189248,"about_ca_topic_score_gemma":0.01344563,"domain_scores_codex":[0.9500956,0.02113886,0.005458474,0.002694878,0.0192229,0.001389274],"domain_scores_gemma":[0.6874518,0.2197239,0.007532796,0.004598843,0.06599331,0.01469932],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003259781,0.00001440616,0.00002501459,0.0006301185,0.00003955493,0.00008303038,0.00006842755,0.00002843693,0.00002943504,0.0007135427,0.992821,0.005514557],"study_design_scores_gemma":[0.0001015764,0.00004052661,0.0003571786,0.002444477,0.0001388236,0.0002675846,0.0003897668,0.0003967872,0.00009999173,0.004948954,0.9907528,0.00006155227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002258672,0.005305614,0.0001909512,0.04763927,0.9462161,0.00002466653,0.00002231574,0.00003109882,0.0005474304],"genre_scores_gemma":[0.0004320586,0.005014872,0.0003084287,0.02025632,0.9707029,0.00006282396,0.00001252677,0.00003454183,0.003175469],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9384803,"threshold_uncertainty_score":0.3253515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335485235620684,"score_gpt":0.492570621966662,"score_spread":0.3590220984045936,"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."}}