{"id":"W6912895084","doi":"10.5281/zenodo.8010254","title":"TuringLang/Turing.jl: v0.25.2","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Work (physics); Relation (database); Point (geometry); Turing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002003918,0.002981097,0.002163946,0.002771494,0.001440453,0.007734484,0.005528056,0.003088724,0.6369622],"category_scores_gemma":[0.008272991,0.003321159,0.001865705,0.002790899,0.00159515,0.007459951,0.005241257,0.005116534,0.7770469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026705,"about_ca_system_score_gemma":0.001703181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004016019,"about_ca_topic_score_gemma":0.003034939,"domain_scores_codex":[0.998285,0.0002831632,0.0001313832,0.0003317619,0.0006802353,0.0002883943],"domain_scores_gemma":[0.99686,0.0005663814,0.0001471755,0.001250552,0.0007826132,0.0003932338],"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":[0.00009370391,0.00001986164,0.0001433895,0.0003951894,0.00001603566,0.00004622954,0.00008613257,0.0002994584,0.0006329935,0.01572711,0.9492945,0.03324543],"study_design_scores_gemma":[0.00004906671,0.00001425845,0.0003134084,0.0001379739,0.00001073134,0.0001442539,0.00003266126,0.0009790679,0.003130163,0.01108921,0.9840367,0.00006258902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004124171,0.0006184742,0.06540979,0.001268404,0.0006966263,0.0001743821,0.0402844,0.6096791,0.2814564],"genre_scores_gemma":[0.01527446,0.00108224,0.02892753,0.001329094,0.0004274652,0.0006657811,0.05641622,0.6244271,0.2714501],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6369622,"threshold_uncertainty_score":0.5178293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008075281194896,"score_gpt":0.2526114466784735,"score_spread":0.2125306938665246,"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."}}