{"id":"W4293759822","doi":"10.3390/ma15175927","title":"An Environmentally Friendly Inverse Microemulsion Method to Synthesize Polyacrylamide","year":2022,"lang":"en","type":"article","venue":"Materials","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Polyacrylamide; Microemulsion; Monomer; Polymerization; Polymer chemistry; Chemical engineering; Materials science; Polymer; Chemistry; Pulmonary surfactant; Composite material","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002211218,0.000175812,0.0002296103,0.00004792732,0.0002570465,0.00005799588,0.0002925744,0.0000474533,0.03223734],"category_scores_gemma":[0.00001439833,0.0001881973,0.0000401845,0.00005200403,0.00001657098,0.000142794,0.0002103158,0.00006027619,0.0001169048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369432,"about_ca_system_score_gemma":0.00001204791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005661794,"about_ca_topic_score_gemma":0.000001612612,"domain_scores_codex":[0.9987065,0.0001485294,0.0002969762,0.0003737903,0.0002178201,0.0002563702],"domain_scores_gemma":[0.9992871,0.00004271464,0.0001353035,0.0004154129,0.000005170428,0.0001142427],"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":[0.0001266713,0.0000992698,0.00007627648,0.00001680993,0.00001095165,0.000009250758,0.0003056015,0.00008280471,0.99147,0.00006147202,0.0001005467,0.00764038],"study_design_scores_gemma":[0.0001446833,0.00004564059,0.0002213837,0.000008609309,0.00001682426,0.00001291617,0.0004292462,0.00001765912,0.9565839,0.000045471,0.04225345,0.0002202346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955893,0.00001677398,0.002679731,0.0001566375,0.0002170047,0.00009578744,0.0005625307,0.00009782307,0.0005844002],"genre_scores_gemma":[0.9863772,0.000005429151,0.01114509,0.0006204197,0.0001826632,0.0001638437,0.0002281527,0.00006019519,0.001217041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04215291,"threshold_uncertainty_score":0.9686473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006562838174653854,"score_gpt":0.2471858591814924,"score_spread":0.2406230210068385,"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."}}