{"id":"W4404861073","doi":"10.1002/mren.202400038","title":"Modeling of 1,6‐Hexanediol Diacrylate Photopolymerization with Spatial Gradients and Film Shrinkage","year":2024,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Photopolymerization techniques and applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Electronic Components and Systems for European Leadership; Natural Sciences and Engineering Research Council of Canada; Mitacs; European Commission","keywords":"Photopolymer; Shrinkage; Materials science; Polymer chemistry; Polymer science; Composite material; Polymerization; Polymer","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001709882,0.0004730706,0.0003738844,0.0002552159,0.0002685806,0.0003849315,0.0006122516,0.0007994263,0.001000865],"category_scores_gemma":[0.0003458922,0.0003184294,0.0005852216,0.0001731073,0.000307987,0.0005713353,0.0002156176,0.0004456345,0.000157618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008371426,"about_ca_system_score_gemma":0.0006639004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008736778,"about_ca_topic_score_gemma":0.004644488,"domain_scores_codex":[0.999939,0.000009950695,0.000002693698,0.00001521862,0.00002034803,0.00001275909],"domain_scores_gemma":[0.99988,0.00005739888,0.00002129039,0.000008187827,0.00002366313,0.000009407169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000171047,0.00002324788,0.0002798236,0.00002355267,0.000006318185,0.00005224796,0.00001829279,0.9764529,0.02057268,0.001050669,0.00004982531,0.001453347],"study_design_scores_gemma":[0.000002694965,0.000008302888,0.00009853705,0.000001083393,0.000001949949,0.000006952165,0.000002022891,0.9978316,0.001859279,0.00008556869,0.00009991961,0.00000204216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7147983,0.0006329346,0.2729126,0.0004194964,0.00007743315,0.00013378,0.0003148745,0.0003925392,0.01031798],"genre_scores_gemma":[0.9829403,0.0003616707,0.01080501,0.00003469043,0.000007671936,0.0001071933,0.00009274553,0.00004627307,0.0056045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008736778,"threshold_uncertainty_score":0.01737189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003579991908712991,"score_gpt":0.1945862364302504,"score_spread":0.1910062445215374,"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."}}