{"id":"W2167127638","doi":"10.1071/ch15472","title":"Thermal and Spectral Analysis of Novel Amide-Tethered Polymers from Poly(allylamine)","year":2015,"lang":"en","type":"article","venue":"Australian Journal of Chemistry","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Niagara University; American Chemical Society Petroleum Research Fund; Rochester Academy of Science; Western New England University; Michigan State University","keywords":"Allylamine; Polyelectrolyte; Thermogravimetric analysis; Amide; Polymer chemistry; Chemistry; Polymer; Differential scanning calorimetry; Chemical engineering; Organic chemistry; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002652449,0.0001629652,0.0005039629,0.0000808831,0.00002688778,0.00004530805,0.0002681647,0.00007545271,0.001175971],"category_scores_gemma":[0.00009607345,0.0001386463,0.0001779372,0.000224905,0.0002127532,0.0002490721,0.00005068039,0.0001698881,0.000004067708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004989443,"about_ca_system_score_gemma":0.00008568183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000378404,"about_ca_topic_score_gemma":0.0000108288,"domain_scores_codex":[0.9986095,0.00002919077,0.0005938074,0.0001644705,0.0003841229,0.0002189422],"domain_scores_gemma":[0.9986333,0.00009199628,0.0006847793,0.0001932256,0.0001729345,0.0002238065],"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":[0.0001327334,0.00006770796,0.008023317,0.000007463711,0.0006828157,0.00001977198,0.0006561787,0.00014104,0.9898556,8.472545e-7,0.0002399227,0.0001726379],"study_design_scores_gemma":[0.0007022027,0.00003842958,0.01613606,0.00003537214,0.000592373,0.00003124477,0.001715046,0.00002076265,0.9804875,0.00000989506,0.0001025459,0.0001285298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974684,0.0007482898,0.00007910645,0.0005124529,0.0002383112,0.00001851729,0.00009858138,0.000009276334,0.0008270888],"genre_scores_gemma":[0.9974487,0.00001059757,0.001146129,0.0000261434,0.000145997,4.396736e-7,0.00000317759,0.00001047344,0.00120831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009368022,"threshold_uncertainty_score":0.9997371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385396750000679,"score_gpt":0.2942865079793388,"score_spread":0.250432540479332,"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."}}