{"id":"W3183288788","doi":"10.1002/mame.202100439","title":"New Leadership, New Layout","year":2021,"lang":"en","type":"article","venue":"Macromolecular Materials and Engineering","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Engineering drawing; Polymer science; Engineering","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008859318,0.0001556534,0.0002879696,0.00009200806,0.00006073464,0.002129135,0.0005421893,0.0001275081,0.001661489],"category_scores_gemma":[0.001459208,0.0001333392,0.00004852466,0.0003579646,0.0000113346,0.0004877393,0.0002923902,0.0001342878,0.0001073906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001369786,"about_ca_system_score_gemma":0.0001100386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001335796,"about_ca_topic_score_gemma":0.000004276473,"domain_scores_codex":[0.9983201,0.00005449756,0.0003783761,0.0004166039,0.0005092524,0.0003211601],"domain_scores_gemma":[0.9991459,0.0001009401,0.00006540299,0.000342174,0.00005729028,0.0002882547],"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":[0.00001423935,0.000008574587,0.0002952218,0.00003379711,0.00004539348,0.0003103993,0.0006741121,0.0008732872,0.888534,0.005480114,0.07235625,0.03137461],"study_design_scores_gemma":[0.000786408,0.0000229763,0.004462925,0.0001164837,0.00003108264,0.000319437,0.0004869666,0.0006643966,0.7211305,0.006803486,0.2645412,0.0006341707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8841655,0.003281172,0.1030496,0.005169961,0.002114855,0.0001038015,0.00001818862,0.0001574409,0.001939569],"genre_scores_gemma":[0.9805099,0.00003810585,0.008457191,0.0007395914,0.0005911188,0.000003520207,0.0000126132,0.0000329516,0.009615003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1921849,"threshold_uncertainty_score":0.9992511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07036137571943096,"score_gpt":0.3103417667019301,"score_spread":0.2399803909824992,"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."}}