{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","open_science","research_integrity"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.03051562,0.0003072015,0.0003463419,0.0001317787,0.009872943,0.0008254151,0.008240632,0.0007597828,0.00009245519],"category_scores_gemma":[0.01327955,0.00008998855,0.0002385152,0.002476951,0.005871193,0.0001223165,0.0007932982,0.003468493,0.00004435936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002319787,"about_ca_system_score_gemma":0.004767323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005264069,"about_ca_topic_score_gemma":0.07497728,"domain_scores_codex":[0.9853916,0.007355967,0.000545017,0.0005016634,0.005051089,0.001154649],"domain_scores_gemma":[0.9684268,0.02580516,0.0003031308,0.002776524,0.002607595,0.00008077817],"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":[0.00004056711,0.00003509911,0.00001822486,0.00001351518,0.00008930997,0.000006772666,0.01160437,6.118574e-7,5.480066e-7,0.09490708,0.8849754,0.008308472],"study_design_scores_gemma":[0.00008330453,0.00008047057,0.0001568255,0.00007567368,0.00004817324,2.992432e-7,0.05407481,0.00001029533,0.000009781329,0.007676999,0.9376625,0.0001208351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0001866255,0.007441405,0.000008269207,0.8807826,0.08106173,0.003570489,0.0001511023,0.00009581699,0.02670195],"genre_scores_gemma":[0.04289628,0.1175228,0.00007157388,0.003127433,0.7347897,0.00709981,0.00004788692,0.000224068,0.0942205],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8776552,"threshold_uncertainty_score":0.9988306,"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."}}