{"id":"W4403027281","doi":"10.1021/acs.cgd.4c00888","title":"Eugenol Biobased Polydiacetylene","year":2024,"lang":"en","type":"article","venue":"Crystal Growth & Design","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Sherbrooke; Cegep de Thetford; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Eugenol; Chemistry; Electronic materials; Organic chemistry; Polymer science; Materials science; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.0002272757,0.0002893784,0.0002403239,0.0000924213,0.0001604006,0.0002721916,0.0003061412,0.000174145,0.002074981],"category_scores_gemma":[0.00004122611,0.0002710982,0.0001541658,0.000294452,0.0001039033,0.0001541808,0.00006275956,0.0001798181,0.0006307335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009822845,"about_ca_system_score_gemma":0.0001987391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005441263,"about_ca_topic_score_gemma":0.000001185209,"domain_scores_codex":[0.9984044,0.00003664141,0.0003243494,0.0005235481,0.0002316694,0.0004793765],"domain_scores_gemma":[0.9991261,0.0001147823,0.00005268936,0.000447208,0.00004935167,0.0002098669],"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":[0.00002988886,0.00006109082,0.00001055602,0.0002823606,0.0000457392,0.00003110023,0.00006431404,0.00001089989,0.9807824,0.009024072,0.00740998,0.002247529],"study_design_scores_gemma":[0.0002787554,0.00002691264,0.00001572317,0.0001444221,0.00006610434,0.0000219816,0.00003611149,0.0005259136,0.9565262,0.003205819,0.03879119,0.0003608778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4765323,0.02541045,0.3787088,0.004780245,0.001870543,0.001344101,0.0017681,0.006682341,0.1029031],"genre_scores_gemma":[0.9942261,0.0001353313,0.00229645,0.0001742475,0.0005767398,0.0002132747,0.00006307438,0.0000886171,0.00222615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5176938,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939429513142646,"score_gpt":0.2389244536485103,"score_spread":0.2195301585170839,"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."}}