{"id":"W2916773437","doi":"10.1002/masy.200690128","title":"Cover Picture: Macromol. Symp. 243/2006","year":2006,"lang":"en","type":"paratext","venue":"Macromolecular Symposia","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polymerization; Polyolefin; Materials science; Cover (algebra); Polystyrene; Polymer; Nanotechnology; Polymer science; Process engineering; Polymer chemistry; Mechanical engineering; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008603312,0.001250198,0.001105783,0.0001793611,0.000287267,0.0003392064,0.0009283581,0.00139364,0.02744145],"category_scores_gemma":[0.00001987539,0.00130657,0.0006410537,0.0002874529,0.0001594676,0.0001607756,0.0002719423,0.0008845717,0.01269648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002780588,"about_ca_system_score_gemma":0.0001883293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009069586,"about_ca_topic_score_gemma":0.000005732715,"domain_scores_codex":[0.9956982,0.00009415366,0.0009656378,0.00137953,0.0008128555,0.001049616],"domain_scores_gemma":[0.9972591,0.00006714863,0.0007463942,0.001534119,0.000143716,0.0002495506],"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":[0.00005240914,0.0002208535,0.00002731005,0.0006683923,0.0003236522,0.0003517502,0.00006036645,0.000229454,0.6648214,0.0003011109,0.330651,0.002292321],"study_design_scores_gemma":[0.0004450264,0.00001872013,0.000009996561,0.0003161097,0.0001866955,0.00009025188,0.000005638561,0.00006064598,0.3397834,0.00003213881,0.658034,0.001017358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006056052,0.01486012,0.01205068,0.0002176332,0.002891011,0.0004221964,0.005543562,0.0003454785,0.9576133],"genre_scores_gemma":[0.07207529,0.0008710086,0.0004377264,0.0009673395,0.003109585,0.0002875725,0.03150591,0.0007708087,0.8899748],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.327383,"threshold_uncertainty_score":0.9999028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003877661248003486,"score_gpt":0.2108965973459042,"score_spread":0.2070189360979008,"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."}}