{"id":"W2972037054","doi":"","title":"Waxy gels with asphaltenes 1 - Characterization of precipitation, gelation, network strength and morphology","year":2007,"lang":"en","type":"article","venue":"2007 AIChE Annual Meeting","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Morphology (biology); Characterization (materials science); Precipitation; Chemical engineering; Asphaltene; Materials science; Chemistry; Polymer science; Geology; Nanotechnology; Engineering; Meteorology; Geography; Paleontology","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":[0.0001823419,0.0004626975,0.0002312479,0.0004526719,0.0002229038,0.0002510496,0.000131472,0.0002165195,0.001572955],"category_scores_gemma":[0.0004309607,0.0002521745,0.000232893,0.0003036727,0.000277613,0.0003915169,0.000313398,0.000475427,0.000322058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621563,"about_ca_system_score_gemma":0.0001504434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007063975,"about_ca_topic_score_gemma":0.001447522,"domain_scores_codex":[0.9998559,0.00001361186,0.00001236811,0.00003338675,0.00003974489,0.00004504709],"domain_scores_gemma":[0.9996248,0.00008253627,0.0001415712,0.00003326514,0.00006777992,0.00004992823],"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":[0.00005474026,0.000005961669,0.0002188201,0.00002674621,0.000006271805,0.00002369716,0.0000419781,0.0000696713,0.9990115,0.00004727554,0.00001751156,0.0004756791],"study_design_scores_gemma":[0.000003620753,0.00008007471,0.002007487,0.000004787048,0.00001288332,0.00003627165,0.00002017628,0.0001842253,0.9970946,0.00001816698,0.0005342197,0.000003565108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994774,0.0006577763,0.002383742,0.00003638553,0.00001313591,0.00003861689,0.0004876624,0.00006583876,0.001542774],"genre_scores_gemma":[0.9920914,0.0006031172,0.002849891,0.00003633388,0.0000112219,0.0000613403,0.0007436445,0.00008001534,0.003523023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001572955,"threshold_uncertainty_score":0.005262077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006177750347877019,"score_gpt":0.2300996198471496,"score_spread":0.2239218694992726,"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."}}