{"id":"W2329613767","doi":"10.1021/ie401965z","title":"Tuning Organogel Properties by Controlling the Organic-Phase Composition","year":2013,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Canola; Differential scanning calorimetry; Rheology; Composition (language); Phase (matter); Chemical engineering; Phase transition; Chemistry; Materials science; Organic chemistry; Thermodynamics; Composite material; Food science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001217518,0.0004284526,0.0001695502,0.0002697015,0.0001271471,0.0002918783,0.0001752227,0.0001769014,0.0009527993],"category_scores_gemma":[0.0002260748,0.0001420857,0.0001314092,0.0002069617,0.0001849702,0.0003126137,0.0001853484,0.0003154956,0.0002196985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120135,"about_ca_system_score_gemma":0.0001351936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001984313,"about_ca_topic_score_gemma":0.0005123021,"domain_scores_codex":[0.9999073,0.000009618245,0.000008850582,0.00002418903,0.00002498526,0.00002503573],"domain_scores_gemma":[0.9999027,0.00003391825,0.00002559034,0.000006217456,0.00001797609,0.00001353345],"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":[0.00002649079,0.000004903651,0.00004040974,0.00001981476,0.000002369524,0.000007721284,0.000006158503,0.00008428348,0.9994148,0.0000291307,0.00000453575,0.0003593836],"study_design_scores_gemma":[0.000003652653,0.00002835541,0.0002977989,0.000001435362,0.000004995889,0.000009863159,0.000004741236,0.0003078612,0.9989886,0.00001299785,0.0003377756,0.000001843638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944172,0.0006665808,0.003009246,0.00003665303,0.00001425629,0.00001947134,0.0002358473,0.0000941048,0.001506718],"genre_scores_gemma":[0.997,0.0005263532,0.001718719,0.00001509013,0.000003863599,0.00002991847,0.0001603876,0.00003453876,0.000510911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009527993,"threshold_uncertainty_score":0.003187478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06198946065875394,"score_gpt":0.3022866140826918,"score_spread":0.2402971534239378,"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."}}