{"id":"W1588638392","doi":"","title":"Engineering of Hyperbranched Polyethylene and its Future Applications","year":2008,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Polymer science; Polyethylene; Materials science; Engineering; Computer science; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001715971,0.0002635487,0.000108336,0.0001654045,0.00008505621,0.0002868716,0.0002121858,0.000360384,0.001141356],"category_scores_gemma":[0.0001348048,0.00009397297,0.0001595012,0.0002364593,0.000121893,0.0005067454,0.0002165944,0.0003003465,0.0003142899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893645,"about_ca_system_score_gemma":0.0001288958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001206814,"about_ca_topic_score_gemma":0.0002519764,"domain_scores_codex":[0.999926,0.000009989702,0.000003751497,0.00001384225,0.00003341126,0.00001310704],"domain_scores_gemma":[0.9999194,0.00001068563,0.00002492041,0.000006567515,0.00002020461,0.00001813844],"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":[0.00003987583,0.00002709815,0.0002822801,0.0001849269,0.0000063506,0.0001888516,0.00004428331,0.0006847181,0.9762498,0.00101455,0.0001086581,0.02116843],"study_design_scores_gemma":[0.000009244244,0.0008862782,0.002862392,0.00003801706,0.00002558425,0.0009126741,0.00007661604,0.0036576,0.9394987,0.000927036,0.05109042,0.00001542923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9001272,0.03642721,0.04784651,0.0008699755,0.0001590766,0.00007886677,0.0001771642,0.0002084933,0.01410551],"genre_scores_gemma":[0.9472836,0.02160334,0.02264552,0.0001464042,0.00004696849,0.00002570433,0.0001671501,0.00003077098,0.00805053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.001141356,"threshold_uncertainty_score":0.003818274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0071616505715585,"score_gpt":0.1899130461355921,"score_spread":0.1827513955640336,"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."}}