{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007812667,0.0003564583,0.0001214435,0.0003441153,0.0001239363,0.0003161417,0.0002157428,0.0002289911,0.003066581],"category_scores_gemma":[0.00009341982,0.0001717688,0.0001222859,0.0003048173,0.0001264208,0.0003356281,0.000168707,0.0004093824,0.0008637609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003094654,"about_ca_system_score_gemma":0.0001662368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005270721,"about_ca_topic_score_gemma":0.001133983,"domain_scores_codex":[0.9999008,0.000004741626,0.000005923331,0.00003569359,0.00003860346,0.00001415674],"domain_scores_gemma":[0.9999293,0.00001133842,0.00002077575,0.00001129147,0.00001507321,0.00001224134],"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":[0.000008103179,0.000003596618,0.00002657929,0.00001579671,7.641839e-7,0.00001393137,0.000003471487,0.00002748173,0.9987631,0.00005168874,0.000029164,0.001056453],"study_design_scores_gemma":[0.000001374788,0.00002004573,0.0003721531,0.000001724151,0.000001600056,0.00002689903,0.000003597095,0.0002595228,0.9973858,0.00001110039,0.001913972,0.000002239489],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467689,0.002405113,0.03319899,0.0002108052,0.0001569593,0.0001093662,0.002700775,0.0008864377,0.01356258],"genre_scores_gemma":[0.9366795,0.002919511,0.03735097,0.00008499705,0.00001731639,0.0001159861,0.002857865,0.0001811861,0.01979264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003066581,"threshold_uncertainty_score":0.01025867,"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."}}