{"id":"W2939967844","doi":"10.1002/mren.201900010","title":"Special Issue: Innovative Processes and Enabling Technologies","year":2019,"lang":"en","type":"article","venue":"Macromolecular Reaction Engineering","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Engineering ethics; Nanotechnology; Management science; Materials science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002561952,0.0001242275,0.0001181561,0.00007773384,0.00003203566,0.00003572644,0.00005980018,0.00008412673,0.0001628693],"category_scores_gemma":[0.00009470561,0.0001311909,0.00001426679,0.0002687452,0.00001204775,0.0001785488,0.00003655153,0.0001294647,0.00002198306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971552,"about_ca_system_score_gemma":0.00001128407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001900705,"about_ca_topic_score_gemma":2.165244e-7,"domain_scores_codex":[0.9994326,0.000001707702,0.0001266078,0.0002010582,0.00009403074,0.0001440554],"domain_scores_gemma":[0.9997112,0.00001984559,0.00006144283,0.0001350239,0.00005575196,0.00001678274],"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":[0.000005991406,0.000008976694,0.0001498216,0.0001874249,0.00001680072,0.000004893456,0.00009388586,0.00003941473,0.9687871,0.0001333404,0.00001005062,0.03056226],"study_design_scores_gemma":[0.000112155,0.000006153464,0.00007165041,0.00007501999,0.000005291163,0.00001957318,0.0002814776,0.0002500308,0.8558039,0.0000107451,0.1432112,0.0001527933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822853,0.0004551384,0.005757621,0.0001180579,0.0003732138,0.00009597299,0.000007179506,0.000648687,0.01025889],"genre_scores_gemma":[0.9981486,0.0001343322,0.0004468797,0.000009938086,0.0006227177,0.00001668644,0.00002306635,0.00003308969,0.000564716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432011,"threshold_uncertainty_score":0.534981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00384742690970307,"score_gpt":0.1950443977892817,"score_spread":0.1911969708795786,"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."}}