{"id":"W6913064287","doi":"10.5683/sp3/rany6h","title":"Specific heat data in GaAs/AlGaAs at 5/2 filling fraction: 20201115 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":[0.0003906091,0.001227853,0.001023956,0.001687312,0.0007756726,0.001027088,0.001258265,0.001086905,0.02225232],"category_scores_gemma":[0.00150146,0.000423296,0.001021319,0.002869964,0.0002993591,0.001081082,0.0005547582,0.001120279,0.0204907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000846273,"about_ca_system_score_gemma":0.0007364209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006154555,"about_ca_topic_score_gemma":0.00901055,"domain_scores_codex":[0.9993539,0.00002831707,0.00003619944,0.000203126,0.0002814773,0.00009692999],"domain_scores_gemma":[0.9988123,0.000114042,0.00008254236,0.0003114587,0.0006132059,0.0000664822],"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":[0.001340371,0.0006890737,0.04342876,0.002093503,0.000436492,0.0005025899,0.0002755529,0.0182989,0.08645879,0.002601812,0.7867156,0.05715865],"study_design_scores_gemma":[0.0002269151,0.0005402668,0.2491079,0.0001797032,0.0001787139,0.0008864376,0.0004624669,0.0237336,0.1422057,0.00485355,0.5772048,0.0004198559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08803258,0.0003535672,0.003475618,0.0002287849,0.0002838125,0.00008217373,0.8885405,0.007322308,0.01168056],"genre_scores_gemma":[0.09934702,0.000226833,0.005039471,0.0001908288,0.00007084895,0.000231549,0.8895091,0.001179075,0.004205253],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02225232,"threshold_uncertainty_score":0.07444143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1801815899624077,"score_gpt":0.3572191393029956,"score_spread":0.1770375493405879,"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."}}