{"id":"W4394487980","doi":"10.6084/m9.figshare.22229713","title":"Can-SWaP_V1","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swap (finance); Interest rate swap; Computer science; Business; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005843195,0.002189764,0.001398317,0.003619815,0.001515716,0.002371067,0.003276318,0.001616307,0.03472171],"category_scores_gemma":[0.004269753,0.000766418,0.001189475,0.009173905,0.0007022431,0.0008936516,0.00146994,0.001853862,0.03481174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007375978,"about_ca_system_score_gemma":0.01489432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7649797,"about_ca_topic_score_gemma":0.8761448,"domain_scores_codex":[0.9992987,0.00006071141,0.00005642877,0.0001918648,0.000221221,0.0001709811],"domain_scores_gemma":[0.9980568,0.00027876,0.0001092437,0.0003511722,0.0009754534,0.0002285056],"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":[0.00005045761,0.00001684671,0.00120785,0.0003920989,0.0000370911,0.00002404514,0.0000257651,0.0008089443,0.00009200223,0.0006018399,0.9946136,0.002129514],"study_design_scores_gemma":[0.0002783425,0.00001248772,0.008905705,0.0002564194,0.00004369292,0.0000603947,0.0001276028,0.001981074,0.0005039435,0.001211143,0.9865717,0.0000475223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002256427,0.00005096752,0.00005651353,0.00003688371,0.000008804823,0.00001094316,0.9985708,0.0004093995,0.0006300192],"genre_scores_gemma":[0.0006230333,0.00004725299,0.000278746,0.00002047229,0.000002222266,0.00002996731,0.9985437,0.00006276833,0.0003917518],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7649797,"threshold_uncertainty_score":0.4728087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0478446055144977,"score_gpt":0.2894698926460575,"score_spread":0.2416252871315598,"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."}}