{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002325041,0.0004140045,0.000339143,0.0001479521,0.0009957418,0.0001061074,0.001257792,0.0003670905,0.0000254989],"category_scores_gemma":[0.00009352276,0.0004186602,0.0003281469,0.0005305426,0.0001573864,0.00001863611,0.0004769063,0.0001942995,0.00005521506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008645848,"about_ca_system_score_gemma":0.0001315545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160571,"about_ca_topic_score_gemma":0.00007288654,"domain_scores_codex":[0.9977857,0.0003401486,0.0004317647,0.000709837,0.0002129681,0.0005195108],"domain_scores_gemma":[0.9962265,0.00006125584,0.0001821963,0.003180451,0.0002143686,0.0001351755],"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":[0.00005275884,0.0002587859,0.00004016602,0.00002319653,0.0005408709,0.000004697065,0.0001790959,0.001052706,0.993957,0.0003716481,0.001985723,0.00153329],"study_design_scores_gemma":[0.0008188721,0.0001354737,0.0002594041,0.00002288771,0.0001393488,0.00002102893,0.0000777509,0.0003284182,0.8714412,0.0003737142,0.1259384,0.0004435124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835784,0.008083434,0.002453851,0.003370754,0.0001073247,0.00123005,0.0005299054,0.0003416021,0.000304633],"genre_scores_gemma":[0.9781814,0.004666406,0.008278455,0.000593042,0.00009966375,0.002171961,0.004328192,0.0001403288,0.001540587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1239527,"threshold_uncertainty_score":0.9998266,"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."}}