{"id":"W3181006779","doi":"10.1039/d1cs00048a","title":"Deciphering structure and aggregation in asphaltenes: hypothesis-driven design and development of synthetic model compounds","year":2021,"lang":"en","type":"review","venue":"Chemical Society Reviews","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Friedrich-Alexander-Universität Erlangen-Nürnberg; University of Alberta","keywords":"Asphaltene; Constructive; Nanotechnology; Biochemical engineering; Chemistry; Computer science; Materials science; Organic chemistry; Engineering; Process (computing)","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"],"consensus_categories":[],"category_scores_codex":[0.0003039384,0.0004231755,0.002379467,0.00002171391,0.00006455463,0.00004539435,0.0002085842,0.000437362,0.00002430113],"category_scores_gemma":[0.0001517401,0.0003365318,0.000413036,0.0002217459,0.000106351,0.00004707155,0.000131959,0.0003906358,7.695764e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795336,"about_ca_system_score_gemma":0.0002437861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001003292,"about_ca_topic_score_gemma":5.270343e-7,"domain_scores_codex":[0.9979295,0.00006246669,0.00103907,0.0005612586,0.0001789994,0.0002287725],"domain_scores_gemma":[0.9988107,0.0002296061,0.0005591961,0.0002635604,0.00003909154,0.0000978298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.666135e-7,0.00002247393,0.00000617112,0.04142037,0.0001135143,6.182701e-7,0.0002157904,0.00001576439,0.003464578,6.984801e-7,0.00003088547,0.9547085],"study_design_scores_gemma":[0.0004612476,0.000004039018,3.676304e-7,0.1540045,0.002051999,0.00005560235,0.0001111783,0.0138195,0.01204797,0.00008873048,0.8160509,0.001303881],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007602465,0.9975503,0.001544403,0.000004876218,0.000005354186,0.00005464116,0.000007808546,0.00001477818,0.00005755487],"genre_scores_gemma":[0.0001246795,0.9076314,0.09198093,0.00001247313,0.00002712827,0.00006132518,0.00005629071,0.00003406954,0.00007167998],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9534046,"threshold_uncertainty_score":0.9999087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08239106434753792,"score_gpt":0.3028374193414677,"score_spread":0.2204463549939298,"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."}}