{"id":"W2066589956","doi":"10.1002/mren.200790002","title":"Cover Picture: Macromol. React. Eng. 1/2007","year":2007,"lang":"en","type":"paratext","venue":"Macromolecular Reaction Engineering","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Cover (algebra); Monte Carlo method; Continuous flow; Polymer; Chain (unit); Polymer science; Statistical physics; Materials science; Physics; Mathematics; Mechanics; Statistics; Engineering; Composite material; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003425698,0.0006285205,0.0004361973,0.0002113971,0.0001301022,0.0000929294,0.0003177961,0.0007058501,0.02098068],"category_scores_gemma":[0.0001021076,0.0006785598,0.0002243184,0.0003896704,0.00006316035,0.0001350797,0.0001944314,0.001035729,0.04830899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007486239,"about_ca_system_score_gemma":0.00003130187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002321063,"about_ca_topic_score_gemma":0.000008199858,"domain_scores_codex":[0.9973089,0.00003475221,0.0005012624,0.0007326802,0.0006387852,0.0007836063],"domain_scores_gemma":[0.9988313,0.00009111658,0.0002375906,0.0005315829,0.00002086406,0.0002875514],"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":[0.00004377873,0.00008836274,0.000008934549,0.0001201128,0.0001360907,0.0002968328,0.00007473437,0.05867921,0.5000125,0.0000369997,0.4376699,0.002832547],"study_design_scores_gemma":[0.0002900639,0.00004712168,0.0003119138,0.0001031354,0.00007682617,0.0002481212,0.000003966984,0.004917067,0.01985046,0.000005442683,0.9734091,0.0007368015],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01792681,0.0009023443,0.5468224,0.00005044595,0.01627503,0.0008279277,0.0003595075,0.0003135277,0.416522],"genre_scores_gemma":[0.666275,0.001494176,0.009162112,0.001111557,0.004403268,0.0001242618,0.003445863,0.000962646,0.3130212],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6483482,"threshold_uncertainty_score":0.9995666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004449849221465564,"score_gpt":0.1967717438642768,"score_spread":0.1923218946428112,"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."}}