{"id":"W4407042689","doi":"10.1039/d5ma00022j","title":"Type I and type II superconductivity in a quasi-2D Dirac metal","year":2025,"lang":"en","type":"article","venue":"Materials Advances","topic":"Topological Materials and Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; TRIUMF; McMaster University","funders":"Energy Frontier Research Centers; JST-Mirai Program; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; McMaster University; U.S. Department of Energy; Division of Materials Research; Japan Society for the Promotion of Science; Office of Science; National Science Foundation","keywords":"Superconductivity; Type (biology); Condensed matter physics; Dirac (video compression format); Metal; Physics; Materials science; Quantum mechanics; Geology; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006346237,0.0001603726,0.000220481,0.0003768552,0.0004739361,0.0006854851,0.0003130987,0.0003772405,0.001257275],"category_scores_gemma":[0.0002052614,0.0001800244,0.00006915171,0.0002309652,0.0005356868,0.0001751758,0.0002126859,0.0001804016,0.0001408405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459536,"about_ca_system_score_gemma":0.0001566134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001330051,"about_ca_topic_score_gemma":0.001914923,"domain_scores_codex":[0.9999473,0.00001171708,0.000002359799,0.000008471298,0.00001653486,0.0000135146],"domain_scores_gemma":[0.9999397,0.00001428865,0.000009633226,0.0000077262,0.000009974759,0.00001857352],"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":[0.0007633304,0.00005652137,0.002264136,0.0001519501,0.00001839467,0.0009964792,0.0003032846,0.0016557,0.9703197,0.02019752,0.00099769,0.002275291],"study_design_scores_gemma":[0.0004010153,0.001020167,0.03979222,0.00007095887,0.00009083329,0.0029499,0.001156193,0.1571245,0.7606971,0.02636853,0.01018333,0.0001451614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973493,0.0001497895,0.0002533105,0.00007631335,0.00001410089,0.000002177507,0.00004076587,0.00005199946,0.00206234],"genre_scores_gemma":[0.9988922,0.00003701672,0.0002686855,0.00001654198,0.00000491265,0.00000331255,0.00003792383,0.00000636082,0.0007330051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001330051,"threshold_uncertainty_score":0.004206002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224281661781103,"score_gpt":0.2765765198321688,"score_spread":0.2643337032143578,"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."}}