{"id":"W4235824576","doi":"10.26434/chemrxiv.12315488.v1","title":"WITHDRAWN","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Carleton University; National Research Council Canada","funders":"","keywords":"3D printing; Polymerization; Materials science; Computer science; Polymer; Nanotechnology; Selection (genetic algorithm); Functional polymers; Phase (matter); Process engineering; Chemistry; Artificial intelligence; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002492678,0.0009495413,0.0009226864,0.001860342,0.002263208,0.006505431,0.001723593,0.003396117,0.5993856],"category_scores_gemma":[0.02102766,0.0004306761,0.0009850613,0.002055007,0.001176003,0.002524873,0.002992987,0.004212023,0.5341839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311786,"about_ca_system_score_gemma":0.003232767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728643,"about_ca_topic_score_gemma":0.003010462,"domain_scores_codex":[0.9974833,0.0003109126,0.0001742876,0.0003349389,0.001492658,0.0002038667],"domain_scores_gemma":[0.9925247,0.001275856,0.0002253565,0.001375452,0.00399103,0.000607661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001331965,0.00001006438,0.0001032501,0.0002400589,0.00001134616,0.0001491448,0.00006546042,0.00002186746,0.001366488,0.005209617,0.9705614,0.02212806],"study_design_scores_gemma":[0.00001080727,0.000008221938,0.0001778857,0.00005452646,0.000005424852,0.0001108394,0.00002549559,0.00001672814,0.0004955341,0.0009378284,0.9981492,0.000007609911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002595098,0.00582813,0.007443099,0.0586463,0.2367509,0.0008988728,0.1010481,0.007215827,0.5795736],"genre_scores_gemma":[0.008957759,0.002733412,0.001958957,0.01214136,0.007384811,0.0002890757,0.02844047,0.002776124,0.935318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4006144,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04070173790916864,"score_gpt":0.2776105409634812,"score_spread":0.2369088030543126,"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."}}