{"id":"W6913335361","doi":"10.5683/sp3/3l8zkj","title":"Replication Data for \"Block Copolymer Boronic Ester Vitrimers: Balancing Self-Healing and Creep through Self-Assembly\"","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replication (statistics); Copolymer; Creep; Set (abstract data type); Microsoft excel; Raw material","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":[0.001716521,0.003322805,0.002144136,0.00191688,0.001166623,0.001852577,0.004186154,0.003063369,0.03390444],"category_scores_gemma":[0.005781205,0.0009834981,0.002831669,0.002635232,0.0006594484,0.001289762,0.001464796,0.002121789,0.05867497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483096,"about_ca_system_score_gemma":0.002824518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153431,"about_ca_topic_score_gemma":0.02472555,"domain_scores_codex":[0.998148,0.0002075341,0.0001765865,0.0005750603,0.0006734225,0.0002193793],"domain_scores_gemma":[0.997245,0.0007071265,0.0002774714,0.0008574606,0.0007396656,0.0001733794],"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":[0.0005697805,0.0001779905,0.001637563,0.00371051,0.0001402209,0.00007193744,0.00004504917,0.002172297,0.004133708,0.0009469251,0.9777534,0.008640804],"study_design_scores_gemma":[0.0008236687,0.0002573004,0.005429476,0.0003816313,0.0001819902,0.0001672798,0.00007577122,0.003199896,0.01327057,0.002175816,0.9738985,0.0001380861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008629061,0.0003545303,0.0003481834,0.00008755388,0.00008788925,0.00004131995,0.9949477,0.001890292,0.001379619],"genre_scores_gemma":[0.001116422,0.0001447412,0.0007985794,0.00005960013,0.000008945745,0.0001454181,0.9967571,0.000156922,0.0008122621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03390444,"threshold_uncertainty_score":0.1134216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03087948646364147,"score_gpt":0.3299849190973818,"score_spread":0.2991054326337403,"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."}}