{"id":"W2131021955","doi":"10.1002/app.42451","title":"Epoxidized pine oil‐siloxane: Crosslinking kinetic study and thermomechanical properties","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Silicone and Siloxane Chemistry","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Materials science; Epoxy; Siloxane; Thermosetting polymer; Differential scanning calorimetry; Composite material; Dynamic mechanical analysis; Curing (chemistry); Heat deflection temperature; Ultimate tensile strength; Scanning electron microscope; Thermal decomposition; Glycidyl methacrylate; Polymer; Izod impact strength test; Copolymer; Chemistry; Organic chemistry","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":[0.0001723694,0.0002869364,0.00008325585,0.0001705526,0.00007573701,0.00009399026,0.00009647603,0.0001087567,0.001058687],"category_scores_gemma":[0.000190775,0.0001000426,0.0001411571,0.0001545201,0.00009079806,0.0002323649,0.00005791101,0.0002861264,0.0002017503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199188,"about_ca_system_score_gemma":0.0000849838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005784194,"about_ca_topic_score_gemma":0.000683575,"domain_scores_codex":[0.9999405,0.000006729772,0.000004300827,0.00001380563,0.00002086874,0.00001375559],"domain_scores_gemma":[0.9998242,0.0000459483,0.00006522069,0.00001314792,0.00003254186,0.00001893164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003244172,0.0000134206,0.0002719523,0.00002683802,0.000003775327,0.0000246653,0.00002058195,0.0001346539,0.9986009,0.00003277696,0.00001014088,0.0008276844],"study_design_scores_gemma":[0.000001441107,0.0001097444,0.003249726,0.000003016655,0.000006617368,0.00003367844,0.00001274653,0.001187781,0.9949877,0.00001047697,0.0003939052,0.000003246563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945645,0.001359001,0.003019721,0.00001359554,0.000009644995,0.00001242662,0.0001471409,0.00002005119,0.0008538879],"genre_scores_gemma":[0.9972594,0.0004447508,0.001160132,0.000006858897,0.000002890747,0.000007259343,0.0001177336,0.000008103898,0.0009928967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001058687,"threshold_uncertainty_score":0.003541708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03413987296838923,"score_gpt":0.2624033786128729,"score_spread":0.2282635056444837,"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."}}