{"id":"W4367174043","doi":"10.1002/marc.202200931","title":"High Temperature Self‐Regenerative Granular Hydrogels for Fracture Treatments During Subsurface Energy Recovery","year":2023,"lang":"en","type":"article","venue":"Macromolecular Rapid Communications","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Changchun Institute of Applied Chemistry; China University of Geosciences","keywords":"Self-healing hydrogels; Materials science; Chemical engineering; Composite material; Self-healing; Nanotechnology; Polymer chemistry","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":[0.00008642652,0.0002266007,0.0001017643,0.000116893,0.00006640639,0.0001175482,0.0001405822,0.0001706094,0.0008233739],"category_scores_gemma":[0.00007880692,0.00008971775,0.0001268003,0.00009110222,0.0001207468,0.0002794506,0.0001718078,0.000326278,0.000144445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203744,"about_ca_system_score_gemma":0.0000846555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001708205,"about_ca_topic_score_gemma":0.0005182148,"domain_scores_codex":[0.9999568,0.000003609836,0.000003126425,0.000008890503,0.00001525382,0.00001226451],"domain_scores_gemma":[0.9999441,0.000007389091,0.00002637363,0.000005333229,0.000004775231,0.00001202983],"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":[0.00002721096,0.00001023188,0.00004101602,0.00004975332,0.000001690381,0.00003913403,0.00001083422,0.0002610343,0.9969677,0.0001258359,0.00004751984,0.00241808],"study_design_scores_gemma":[0.000006000247,0.00006967811,0.0003971567,0.000004219351,0.000003659269,0.00007437156,0.00001008716,0.001383692,0.9970618,0.00004883531,0.0009352883,0.000005275214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661775,0.002079507,0.02885961,0.0001191855,0.00006573561,0.000047675,0.0002547221,0.0003392657,0.002056828],"genre_scores_gemma":[0.9932423,0.0004479347,0.005260771,0.00003510072,0.00000771423,0.00002184783,0.00005472475,0.00001804566,0.0009115685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008233739,"threshold_uncertainty_score":0.00275445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276764470628773,"score_gpt":0.2432220127108365,"score_spread":0.2304543680045488,"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."}}