{"id":"W6913069704","doi":"10.5683/sp3/3nj8jx","title":"Specific heat data in GaAs/AlGaAs at 5/2 filling fraction: 20200815 data set","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Data file; Raw data; Amplitude; Data set; Offset (computer science); Table (database); Set (abstract data type); Data point","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":[0.0003640267,0.001169962,0.000987069,0.001653852,0.0007091481,0.0009549054,0.001192723,0.001036015,0.018853],"category_scores_gemma":[0.001399775,0.0003930171,0.0009864301,0.002768433,0.0002841002,0.00101404,0.0005168528,0.001056568,0.01721642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000795005,"about_ca_system_score_gemma":0.0006816263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006538354,"about_ca_topic_score_gemma":0.009589681,"domain_scores_codex":[0.9994081,0.00002544741,0.00003174366,0.000188075,0.0002595086,0.00008712602],"domain_scores_gemma":[0.9989313,0.0001008844,0.00007358958,0.0002741958,0.0005606786,0.0000593184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001424545,0.0007216849,0.05062014,0.002151795,0.0004917274,0.0005564087,0.0003083297,0.02119902,0.1009714,0.002771184,0.7555643,0.06321949],"study_design_scores_gemma":[0.000231509,0.000575639,0.2765405,0.0001843082,0.0001968812,0.0009498461,0.0004941327,0.02759743,0.1452843,0.005015505,0.5425054,0.0004244427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1126931,0.0004153566,0.003812816,0.0002456836,0.0002827925,0.00008238399,0.8624437,0.007542329,0.01248174],"genre_scores_gemma":[0.1264937,0.0002618276,0.005512794,0.0002075911,0.00007754111,0.0002365169,0.861594,0.001223888,0.004392272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.018853,"threshold_uncertainty_score":0.06306958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.173555773659558,"score_gpt":0.3570769168012904,"score_spread":0.1835211431417324,"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."}}