{"id":"W7107963216","doi":"10.5683/sp3/4nks4h","title":"Replication Data for: Optimizing the membrane composition of immobilized giant vesicles for effective entrapment and observation of motile bacteria","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Bacteria; Membrane; Vesicle; Replication (statistics); Entrapment; Replicate","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":[],"consensus_categories":[],"category_scores_codex":[0.00276623,0.004538165,0.003225868,0.004095619,0.00212255,0.003576924,0.004223893,0.004475527,0.09402616],"category_scores_gemma":[0.01436162,0.001038669,0.00284386,0.005140223,0.0009247665,0.001777887,0.002951704,0.00256328,0.1196102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187925,"about_ca_system_score_gemma":0.003529072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01556419,"about_ca_topic_score_gemma":0.02711991,"domain_scores_codex":[0.9969115,0.0004093245,0.0003821034,0.001062755,0.0008578694,0.0003764612],"domain_scores_gemma":[0.9941203,0.002282851,0.0005494366,0.001333027,0.001281137,0.0004331963],"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":[0.0002950719,0.0000839752,0.001727804,0.003586471,0.0001140041,0.00007332239,0.00006132061,0.0005743457,0.00121051,0.0004937933,0.9872011,0.004578246],"study_design_scores_gemma":[0.0006976823,0.00008772178,0.006071783,0.0007674107,0.0001500206,0.0001180436,0.000113678,0.001020702,0.002850561,0.001722016,0.9862865,0.0001139177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002035277,0.0001016641,0.0001194578,0.00005435058,0.00005212647,0.00002294441,0.9981153,0.0008821727,0.0004485316],"genre_scores_gemma":[0.0005146304,0.00005518138,0.0006324281,0.00005340447,0.000009513601,0.0001433737,0.9979279,0.0002609087,0.0004026778],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09402616,"threshold_uncertainty_score":0.3145489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03861940001369554,"score_gpt":0.3120234505488292,"score_spread":0.2734040505351337,"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."}}