{"id":"W4402609937","doi":"10.1039/d4lc00530a","title":"Reversible bonding in thermoplastic elastomer microfluidic platforms for harvestable 3D microvessel networks","year":2024,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; McGill University; Medical Council of Canada","funders":"","keywords":"Microfluidics; Polystyrene; Thermoplastic elastomer; Elastomer; Thermoplastic; Materials science; Microvessel; Thermoforming; Composite material; Nanotechnology; Polymer; Copolymer","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":[],"consensus_categories":[],"category_scores_codex":[0.0005196324,0.000180297,0.0001886234,0.0003187753,0.00005318381,0.0001387735,0.000237265,0.0001578088,0.0001332556],"category_scores_gemma":[0.0001442225,0.0001590857,0.00006523675,0.0006376372,0.00004682273,0.0001427005,0.00006007707,0.0005352812,0.0002085878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001965267,"about_ca_system_score_gemma":0.00004350484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001278034,"about_ca_topic_score_gemma":0.000008703511,"domain_scores_codex":[0.9986267,0.00001086484,0.0002354031,0.0002843582,0.0002001159,0.0006425501],"domain_scores_gemma":[0.998998,0.0006532369,0.00001162186,0.0002025584,0.00001535619,0.000119197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00035622,0.0002803291,0.003059887,0.005477106,0.0004547623,0.0002845372,0.001543979,0.01692327,0.5590812,0.04494765,0.2885444,0.07904671],"study_design_scores_gemma":[0.001489275,0.0002181843,0.002731307,0.002554788,0.00003201565,0.00002468265,0.00007810141,0.3994539,0.04331513,0.002161365,0.5471324,0.0008088562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421867,0.008923279,0.03366741,0.0003017747,0.002303755,0.0008261862,0.00004525443,0.0009015414,0.01084416],"genre_scores_gemma":[0.9920978,0.0003931193,0.001128086,0.0001095491,0.0002540096,0.00008381301,0.00002527105,0.0001064373,0.005801931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5157661,"threshold_uncertainty_score":0.6487326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602588885277305,"score_gpt":0.2595507018263424,"score_spread":0.2435248129735693,"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."}}