{"id":"W2624106352","doi":"10.71781/11834","title":"Supramolecular hydrogels based on bile acids and their derivatives","year":2016,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Self-healing hydrogels; Supramolecular chemistry; Bile acid; Chemistry; Combinatorial chemistry; Organic chemistry; Biochemistry; Molecule","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00007763997,0.0003623495,0.0002564621,0.0003797224,0.001402829,0.00003882808,0.0001972746,0.0004186029,0.00005982587],"category_scores_gemma":[0.00003878732,0.0003451391,0.0001448214,0.0001549723,0.00008309181,0.0002407951,0.00002827914,0.0003102434,0.00001954143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635387,"about_ca_system_score_gemma":0.0002736762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003990279,"about_ca_topic_score_gemma":0.0002043344,"domain_scores_codex":[0.9988456,0.00004867293,0.0002150878,0.0003561874,0.0003041035,0.000230381],"domain_scores_gemma":[0.9992182,0.0001299351,0.0001053375,0.0002929299,0.0001182289,0.0001353329],"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":[0.001525192,0.0004404038,0.005389415,0.001171994,0.001448118,0.00162922,0.02226814,0.01816594,0.8271317,0.02536263,0.006838062,0.08862915],"study_design_scores_gemma":[0.001040299,0.0001733974,0.008484283,0.0006360661,0.00009810794,0.0001219384,0.003345535,0.0120884,0.8764846,0.001053298,0.09540576,0.001068324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7707532,0.008642084,0.01583008,0.000328301,0.001495713,0.0008590758,0.0002037672,0.001731416,0.2001564],"genre_scores_gemma":[0.9914132,0.0003309989,0.0007319438,0.00007683573,0.00008634288,0.00005534914,0.0002972922,0.00005599098,0.006952034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22066,"threshold_uncertainty_score":0.9999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003189824530720507,"score_gpt":0.1597596471878342,"score_spread":0.1565698226571137,"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."}}